<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>37865</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>684</pageFirst>
    <pageLast>693</pageLast>
    <pageNumber>10</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpart</type>
    <publisherName>Springer Nature Switzerland</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Stochastic modeling of intermittent inflow turbulence in the atmospheric boundary layer</title>
    <abstract language="eng">Wind turbine predesign is challenged by the representation of site-specific wind conditions. A good deal of that challenge lies in the modeling of the inflow turbulence in the atmospheric boundary layer (ABL). A stochastic one-dimensional turbulence (ODT) model is applied to an idealized neutrally stratified ABL and evolves the instantaneous velocity profile with full-scale resolution. The model is able to reproduce the law of the wall consistently after an initial calibration with the surface drag law. Investigating turbulent time series of the horizontal velocity components it is demonstrated that the model generates physically justified intermittency features with increasing turbulence intensity.</abstract>
    <parentTitle language="eng">New Results in Numerical and Experimental Fluid Mechanics XV : contributions to the 24th STAB/DGLR Symposium, Regensburg, Germany, 2024</parentTitle>
    <identifier type="doi">10.1007/978-3-032-11115-9_63</identifier>
    <identifier type="isbn">978-3-032-11115-9</identifier>
    <identifier type="issn">1612-2909</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T11:09:26Z","timestamp":1771844966688,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032111142","type":"print"},{"value":"9783032111159","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-11115-9_63","type":"book-chapter","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T10:44:43Z","timestamp":1771843483000},"page":"684-693","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Stochastic Modeling of\u00a0Intermittent Inflow Turbulence in\u00a0the\u00a0Atmospheric Boundary Layer"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0609-8961","authenticated-orcid":false,"given":"Marten","family":"Klein","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2172-7095","authenticated-orcid":false,"given":"Christoph","family":"Glawe","sequence":"additional","affiliation":[]},{"given":"Mark Simon","family":"Ehlert","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1207-9604","authenticated-orcid":false,"given":"Juan Al\u00ed","family":"Medina M\u00e9ndez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6475-6646","authenticated-orcid":false,"given":"Heiko","family":"Schmidt","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,24]]},"reference":[{"issue":"11","key":"63_CR1","doi-asserted-by":"publisher","first-page":"1691","DOI":"10.1175\/BAMS-D-11-00187.1","volume":"94","author":"AAM Holtslag","year":"2013","unstructured":"Holtslag, A.A.M.: Stable atmospheric boundary layers and diurnal cycles: challenges for weather and climate models. Bull. Am. Meteorol. Soc. 94(11), 1691\u20131706 (2013). https:\/\/doi.org\/10.1175\/BAMS-D-11-00187.1","journal-title":"Bull. Am. Meteorol. Soc."},{"issue":"8","key":"63_CR2","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.5194\/wes-8-1251-2023","volume":"8","author":"SE Haupt","year":"2023","unstructured":"Haupt, S.E., et al.: Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy. Wind Energ. Sci. 8(8), 1251\u20131275 (2023). https:\/\/doi.org\/10.5194\/wes-8-1251-2023","journal-title":"Wind Energ. Sci."},{"key":"63_CR3","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1017\/jfm.2015.672","volume":"786","author":"CM de Silva","year":"2016","unstructured":"de Silva, C.M., Hutchins, N., Marusic, I.: Uniform momentum zones in turbulent boundary layers. J. Fluid Mech. 786, 309\u2013331 (2016). https:\/\/doi.org\/10.1017\/jfm.2015.672","journal-title":"J. Fluid Mech."},{"key":"63_CR4","doi-asserted-by":"publisher","first-page":"A12","DOI":"10.1017\/jfm.2023.999","volume":"979","author":"R Ehsani","year":"2024","unstructured":"Ehsani, R., et al.: Stochastic modelling of the instantaneous velocity profile in rough-wall turbulent boundary layers. J. Fluid Mech. 979, A12 (2024). https:\/\/doi.org\/10.1017\/jfm.2023.999","journal-title":"J. Fluid Mech."},{"key":"63_CR5","doi-asserted-by":"publisher","first-page":"117","DOI":"10.5194\/asr-19-117-2022","volume":"19","author":"M Klein","year":"2022","unstructured":"Klein, M., Schmidt, H.: Exploring stratification effects in stable Ekman boundary layers using a stochastic one-dimensional turbulence model. Adv. Sci. Res. 19, 117\u2013136 (2022). https:\/\/doi.org\/10.5194\/asr-19-117-2022","journal-title":"Adv. Sci. Res."},{"issue":"2","key":"63_CR6","doi-asserted-by":"publisher","first-page":"439","DOI":"10.5194\/wes-9-439-2024","volume":"9","author":"L Neuhaus","year":"2024","unstructured":"Neuhaus, L., W\u00e4chter, M., Peinke, J.: The fractal turbulent-non-turbulent interface in the atmosphere. Wind Energ. Sci. 9(2), 439\u2013452 (2024). https:\/\/doi.org\/10.5194\/wes-9-439-2024","journal-title":"Wind Energ. Sci."},{"key":"63_CR7","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1017\/jfm.2016.534","volume":"805","author":"C Ansorge","year":"2016","unstructured":"Ansorge, C., Mellado, J.P.: Analyses of external and global intermittency in the surface layer of Ekman flow. J. Fluid Mech. 805, 611\u2013635 (2016). https:\/\/doi.org\/10.1017\/jfm.2016.534","journal-title":"J. Fluid Mech."},{"issue":"7","key":"63_CR8","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.5194\/wes-8-1133-2023","volume":"8","author":"K Yassin","year":"2023","unstructured":"Yassin, K., et al.: Applying a random time mapping to Mann-modeled turbulence for the generation of intermittent wind fields. Wind Energ. Sci. 8(7), 1133\u20131152 (2023). https:\/\/doi.org\/10.5194\/wes-8-1133-2023","journal-title":"Wind Energ. Sci."},{"key":"63_CR9","doi-asserted-by":"publisher","unstructured":"Quon, E.W., Ghate, A.S., Lele, S.K.: Enrichment methods for inflow turbulence generation in the atmospheric boundary layer. J. Phys. Conf. Ser. 1037(7), 072,054 (2018). https:\/\/doi.org\/10.1088\/1742-6596\/1037\/7\/072054","DOI":"10.1088\/1742-6596\/1037\/7\/072054"},{"key":"63_CR10","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1017\/S0022112094001886","volume":"273","author":"J Mann","year":"1994","unstructured":"Mann, J.: The spatial structure of neutral atmospheric surface-layer turbulence. J. Fluid Mech. 273, 141\u2013168 (1994). https:\/\/doi.org\/10.1017\/S0022112094001886","journal-title":"J. Fluid Mech."},{"key":"63_CR11","unstructured":"Reinert, D., et al.: DWD database reference for the global and regional ICON and ICON-EPS Forecasting System, Version 2.2.2. Deutscher Wetterdienst, Offenbach am Main, Germany (2021). https:\/\/www.dwd.de\/DWD\/forschung\/nwv\/fepub\/icon_database_main.pdf"},{"key":"63_CR12","doi-asserted-by":"crossref","unstructured":"Kelley, N.D., Jonkman, B.J.: Overview of the TurbSim stochastic inflow turbulence simulator. Technical report NREL\/TP-500-41137, National Renewable Energy Laboratory (2007)","DOI":"10.2172\/891590"},{"issue":"755","key":"63_CR13","doi-asserted-by":"publisher","first-page":"2125","DOI":"10.1002\/qj.4498","volume":"149","author":"V Boyko","year":"2023","unstructured":"Boyko, V., Vercauteren, N.: A stochastic stability equation for unsteady turbulence in the stable boundary layer. Q. J. R. Meteorol. Soc. 149(755), 2125\u20132145 (2023). https:\/\/doi.org\/10.1002\/qj.4498","journal-title":"Q. J. R. Meteorol. Soc."},{"issue":"7","key":"63_CR14","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.5194\/wes-8-1153-2023","volume":"8","author":"M Sommerfeld","year":"2023","unstructured":"Sommerfeld, M., D\u00f6renk\u00e4mper, M., De Schutter, J., Crawford, C.: Impact of wind profiles on ground-generation airborne wind energy system performance. Wind Energ. Sci. 8(7), 1153\u20131178 (2023). https:\/\/doi.org\/10.5194\/wes-8-1153-2023","journal-title":"Wind Energ. Sci."},{"issue":"3","key":"63_CR15","doi-asserted-by":"publisher","DOI":"10.1002\/pamm.202300055","volume":"23","author":"C Glawe","year":"2023","unstructured":"Glawe, C., Klein, M., Schmidt, H.: Stochastic deconvolution of wall statistics in Reynolds-averaged Navier-Stokes simulations based on one-dimensional turbulence. Proc. Appl. Math. Mech. 23(3), e202300055 (2023). https:\/\/doi.org\/10.1002\/pamm.202300055","journal-title":"Proc. Appl. Math. Mech."},{"key":"63_CR16","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1017\/S0022112099005376","volume":"392","author":"AR Kerstein","year":"1999","unstructured":"Kerstein, A.R.: One-dimensional turbulence: model formulation and application to homogeneous turbulence, shear flows, and buoyant stratified flows. J. Fluid Mech. 392, 277\u2013334 (1999). https:\/\/doi.org\/10.1017\/S0022112099005376","journal-title":"J. Fluid Mech."},{"key":"63_CR17","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/s10546-005-9004-x","volume":"118","author":"AR Kerstein","year":"2006","unstructured":"Kerstein, A.R., Wunsch, S.: Simulation of a stably stratified atmospheric boundary layer using one-dimensional turbulence. Bound. Lay. Meteorol. 118, 325\u2013356 (2006). https:\/\/doi.org\/10.1007\/s10546-005-9004-x","journal-title":"Bound. Lay. Meteorol."},{"key":"63_CR18","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.agrformet.2017.12.211","volume":"250\u2013251","author":"LS Freire","year":"2018","unstructured":"Freire, L.S., Chamecki, M.: A one-dimensional stochastic model of turbulence within and above plant canopies. Agric. For. Meteorol. 250\u2013251, 9\u201323 (2018). https:\/\/doi.org\/10.1016\/j.agrformet.2017.12.211","journal-title":"Agric. For. Meteorol."},{"key":"63_CR19","doi-asserted-by":"publisher","first-page":"55","DOI":"10.5194\/asr-20-55-2023","volume":"20","author":"M Klein","year":"2023","unstructured":"Klein, M., Schmidt, H.: Capturing features of turbulent Ekman-Stokes boundary layers with a stochastic modeling approach. Adv. Sci. Res. 20, 55\u201364 (2023). https:\/\/doi.org\/10.5194\/asr-20-55-2023","journal-title":"Adv. Sci. Res."},{"key":"63_CR20","doi-asserted-by":"publisher","unstructured":"Schlichting, H., Gersten, K.: Boundary-Layer Theory. Springer, Berlin (2000). https:\/\/doi.org\/10.1007\/978-3-642-85829-1","DOI":"10.1007\/978-3-642-85829-1"},{"key":"63_CR21","doi-asserted-by":"publisher","unstructured":"Pedlosky, J.: Geophysical Fluid Dynamics. Springer, New York (1979). https:\/\/doi.org\/10.1007\/978-1-4684-0071-7","DOI":"10.1007\/978-1-4684-0071-7"},{"key":"63_CR22","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/s10546-014-9941-3","volume":"153","author":"C Ansorge","year":"2014","unstructured":"Ansorge, C., Mellado, J.P.: Global intermittency and collapsing turbulence in the stratified atmospheric boundary layer. Bound. Lay. Meteorol. 153, 89\u2013116 (2014). https:\/\/doi.org\/10.1007\/s10546-014-9941-3","journal-title":"Bound. Lay. Meteorol."},{"key":"63_CR23","doi-asserted-by":"publisher","unstructured":"Spalart, P.R., Coleman, G.N., Johnstone, R.: Direct numerical simulation of the ekman layer: a step in Reynolds number, and cautious support for a log law with a shifted origin. Phys. Fluids 20(10), 101,507 (2008). https:\/\/doi.org\/10.1063\/1.3005858","DOI":"10.1063\/1.3005858"},{"issue":"5","key":"63_CR24","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1175\/1520-0469(1967)024&lt;0467:OTLOAT&gt;2.0.CO;2","volume":"24","author":"GT Csanady","year":"1967","unstructured":"Csanady, G.T.: On the \u201cresistance law\u2019\u2019 of a turbulent Ekman layer. J. Atmos. Sci. 24(5), 467\u2013471 (1967)","journal-title":"J. Atmos. Sci."}],"container-title":["Notes on Numerical Fluid Mechanics and Multidisciplinary Design","New Results in Numerical and Experimental Fluid Mechanics XV"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11115-9_63","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T10:44:44Z","timestamp":1771843484000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11115-9_63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032111142","9783032111159"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11115-9_63","relation":{},"ISSN":["1612-2909","1860-0824"],"issn-type":[{"value":"1612-2909","type":"print"},{"value":"1860-0824","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"24 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"STAB\/DGLR Symposium","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"STAB\/DGLR Symposium","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Regensburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"stabdglr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bfm.rcbe.de\/stab2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}</enrichment>
    <enrichment key="opus_crossrefDocumentType">book-chapter</enrichment>
    <enrichment key="local_crossrefLicence">https://www.springernature.com/gp/researchers/text-and-data-mining</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorIdentifierOrcid_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorIdentifierOrcid_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorFirstName_4,PersonAuthorLastName_4,PersonAuthorIdentifierOrcid_4,PersonAuthorFirstName_5,PersonAuthorLastName_5,PersonAuthorIdentifierOrcid_5,PublisherName,PublisherPlace,TitleMain_1,Language,TitleParent_1,PageNumber,PageFirst,PageLast,PublishedYear,IdentifierIsbn,IdentifierIssn,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Referiert">Beitrag ist referiert / Article peer-reviewed</enrichment>
    <enrichment key="ConferencePlace">Regensburg, Germany</enrichment>
    <enrichment key="ConferenceTitle">STAB/DGLR Symposium 2024</enrichment>
    <enrichment key="RelationnotEU">85056897; 03SF0693A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Forschung, Technologie und Raumfahrt</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="UBICOseries">Notes on numerical fluid mechanics and multidisciplinary design ; 156</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <editor>
      <firstName>Andreas</firstName>
      <lastName>Dillmann</lastName>
    </editor>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Glawe</lastName>
    </author>
    <editor>
      <firstName>Gerd</firstName>
      <lastName>Heller</lastName>
    </editor>
    <author>
      <firstName>Mark Simon</firstName>
      <lastName>Ehlert</lastName>
    </author>
    <editor>
      <firstName>Ewald</firstName>
      <lastName>Krämer</lastName>
    </editor>
    <author>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <editor>
      <firstName>Christian</firstName>
      <lastName>Breitsamer</lastName>
    </editor>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <editor>
      <firstName>Claus</firstName>
      <lastName>Wagner</lastName>
    </editor>
    <editor>
      <firstName>Lars</firstName>
      <lastName>Krenkel</lastName>
    </editor>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Atmospheric boundary layer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Intermittency</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stochastic modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulent inflow</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>37864</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>737</pageFirst>
    <pageLast>747</pageLast>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpart</type>
    <publisherName>Springer Nature Switzerland</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Revisiting near-wall modeling of fully developed turbulent flow in concentric annuli</title>
    <abstract language="eng">We report on a systematic study for Reynolds–Averaged Navier-Stokes (RANS) modeling and simulations of turbulent annular pipe flow. Several simulations were performed using the most readily-available RANS models in the open-source library OpenFOAM. A customized 1-D RANS solver was also developed for ease of analysis. The focus of the study is on the reproduction of the mean velocity profile, its maximum, and maximum radial location, as well as modeled low-order fluctuation statistics. The flow in the annular gap is characterized by a radius ratio of 0.1, and a friction Reynolds number equal to 600 that is based on a mean friction velocity. Deviations from the mean velocity profile are observed for all RANS models investigated when compared with Direct Numerical Simulation (DNS) reference data. The representation of the near-wall outer cylinder flow is better than that of the near-wall inner cylinder flow.</abstract>
    <parentTitle language="eng">New Results in Numerical and Experimental Fluid Mechanics XV : contributions to the 24th STAB/DGLR Symposium, Regensburg, Germany, 2024</parentTitle>
    <identifier type="doi">10.1007/978-3-032-11115-9_68</identifier>
    <identifier type="isbn">978-3-032-11115-9</identifier>
    <identifier type="issn">1612-2909</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T11:09:46Z","timestamp":1771844986489,"version":"3.50.1"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032111142","type":"print"},{"value":"9783032111159","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-11115-9_68","type":"book-chapter","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T10:45:09Z","timestamp":1771843509000},"page":"737-747","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Revisiting Near-Wall Modeling of\u00a0Fully Developed Turbulent Flow in\u00a0Concentric Annuli"],"prefix":"10.1007","author":[{"given":"Nishidh Shailesh","family":"Naik Burye","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1207-9604","authenticated-orcid":false,"given":"Juan Al\u00ed","family":"Medina M\u00e9ndez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0609-8961","authenticated-orcid":false,"given":"Marten","family":"Klein","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6475-6646","authenticated-orcid":false,"given":"Heiko","family":"Schmidt","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,24]]},"reference":[{"key":"68_CR1","doi-asserted-by":"crossref","unstructured":"Klein, M., Tsai, P.Y., Schmidt, H.: Stochastic modeling and large-eddy simulation of heated concentric coaxial pipes. In:\u00a0Dillmann, A.,\u00a0Heller, G.,\u00a0Kr\u00e4mer, E.,\u00a0Wagner, C.,\u00a0Weiss, J. (eds.) New Results in Numerical and Experimental Fluid Mechanics XIV, pp. 435\u2013444. Springer, Cham (2024)","DOI":"10.1007\/978-3-031-40482-5_41"},{"key":"68_CR2","doi-asserted-by":"publisher","unstructured":"Tsai, P.Y., Schmidt, H., Klein, M.: Investigating Reynolds number effects in turbulent concentric coaxial pipe flow using stochastic one-dimensional turbulence modeling. PAMM 23(4), e202300,167 (2023). https:\/\/doi.org\/10.1002\/pamm.202300167","DOI":"10.1002\/pamm.202300167"},{"issue":"4","key":"68_CR3","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1016\/S0997-7546(02)01192-5","volume":"21","author":"M Quadrio","year":"2002","unstructured":"Quadrio, M., Luchini, P.: Direct numerical simulation of the turbulent flow in a pipe with annular cross section. Eur. J. Mech. B. Fluids 21(4), 413\u2013427 (2002). https:\/\/doi.org\/10.1016\/S0997-7546(02)01192-5","journal-title":"Eur. J. Mech. B. Fluids"},{"key":"68_CR4","doi-asserted-by":"publisher","unstructured":"Bagheri, E., Wang, B.C.: Effects of radius ratio on turbulent concentric annular pipe flow and structures. Int. J. Heat Fluid Flow 86, 108,725 (2020). https:\/\/doi.org\/10.1016\/j.ijheatfluidflow.2020.108725","DOI":"10.1016\/j.ijheatfluidflow.2020.108725"},{"issue":"2","key":"68_CR5","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1017\/S0022112074002394","volume":"64","author":"K Rehme","year":"1974","unstructured":"Rehme, K.: Turbulent flow in smooth concentric annuli with small radius ratios. J. Fluid Mech. 64(2), 263\u2013288 (1974). https:\/\/doi.org\/10.1017\/S0022112074002394","journal-title":"J. Fluid Mech."},{"key":"68_CR6","volume-title":"Turbulence Modeling for CFD","author":"DC Wilcox","year":"2006","unstructured":"Wilcox, D.C.: Turbulence Modeling for CFD. DCW Industries Inc, La Ca\u00f1ada (2006)"},{"key":"68_CR7","volume-title":"Statistical Theory and Modeling for Turbulent Flows","author":"PA Durbin","year":"2011","unstructured":"Durbin, P.A., Pettersson Reif, B.A.: Statistical Theory and Modeling for Turbulent Flows. Wiley, Hoboken (2011)"},{"key":"68_CR8","unstructured":"NASA, Langley Research Center, Turbulence Modeling Resource: The Menter Shear Stress Transport Turbulence Model (2024). https:\/\/turbmodels.larc.nasa.gov\/sst.html. Accessed 05 Nov 2024"},{"issue":"1","key":"68_CR9","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s10494-010-9295-y","volume":"86","author":"BJ Boersma","year":"2011","unstructured":"Boersma, B.J., Breugem, W.P.: Numerical simulation of turbulent flow in concentric annuli. Flow Turbul. Combust. 86(1), 113\u2013127 (2011). https:\/\/doi.org\/10.1007\/s10494-010-9295-y","journal-title":"Flow Turbul. Combust."},{"key":"68_CR10","doi-asserted-by":"publisher","unstructured":"Khoury, G.K.E., Schlatter, P., Noorani, A., Fischer, P.F., Brethouwer, G., Johansson, A.V.: Direct numerical simulation of turbulent pipe flow at moderately high Reynolds numbers. Flow Turbul. Comb. 91(3), 475\u2013495 (2013). https:\/\/doi.org\/10.1007\/s10494-013-9482-8","DOI":"10.1007\/s10494-013-9482-8"}],"container-title":["Notes on Numerical Fluid Mechanics and Multidisciplinary Design","New Results in Numerical and Experimental Fluid Mechanics XV"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11115-9_68","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T10:45:11Z","timestamp":1771843511000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11115-9_68"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032111142","9783032111159"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11115-9_68","relation":{},"ISSN":["1612-2909","1860-0824"],"issn-type":[{"value":"1612-2909","type":"print"},{"value":"1860-0824","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"24 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"STAB\/DGLR Symposium","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"STAB\/DGLR Symposium","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Regensburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"stabdglr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bfm.rcbe.de\/stab2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}</enrichment>
    <enrichment key="opus_crossrefDocumentType">book-chapter</enrichment>
    <enrichment key="local_crossrefLicence">https://www.springernature.com/gp/researchers/text-and-data-mining</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorIdentifierOrcid_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorIdentifierOrcid_3,PersonAuthorFirstName_4,PersonAuthorLastName_4,PersonAuthorIdentifierOrcid_4,PublisherName,PublisherPlace,TitleMain_1,Language,TitleParent_1,PageNumber,PageFirst,PageLast,PublishedYear,IdentifierIsbn,IdentifierIssn,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Referiert">Beitrag ist referiert / Article peer-reviewed</enrichment>
    <enrichment key="ConferencePlace">Regensburg, Germany</enrichment>
    <enrichment key="ConferenceTitle">STAB/DGLR Symposium 2024</enrichment>
    <enrichment key="RelationnotEU">85056897; 03SF0693A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Forschung, Technologie und Raumfahrt</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="UBICOseries">Notes on numerical fluid mechanics and multidisciplinary design ; 156</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <author>
      <firstName>Nishidh Shailesh</firstName>
      <lastName>Naik Burye</lastName>
    </author>
    <editor>
      <firstName>Andreas</firstName>
      <lastName>Dillmann</lastName>
    </editor>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <editor>
      <firstName>Gerd</firstName>
      <lastName>Heller</lastName>
    </editor>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <editor>
      <firstName>Ewald</firstName>
      <lastName>Krämer</lastName>
    </editor>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <editor>
      <firstName>Christian</firstName>
      <lastName>Breitsamer</lastName>
    </editor>
    <editor>
      <firstName>Claus</firstName>
      <lastName>Wagner</lastName>
    </editor>
    <editor>
      <firstName>Lars</firstName>
      <lastName>Krenkel</lastName>
    </editor>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Annular pipe flow</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>HRN and LRN wall model formulations</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Wall function</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reynolds-averaged Navier-Stokes (RANS) modeling</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>37863</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>90</pageFirst>
    <pageLast>100</pageLast>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpart</type>
    <publisherName>Springer Nature Switzerland</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigating slip-velocity boundary conditions in turbulent thermal convection using a lattice Boltzmann method</title>
    <abstract language="eng">The present study investigates the impact of various surface boundary conditions on turbulent Rayleigh–Bénard convection within a cubic cavity configuration. Simulations are conducted with a characteristic-based off-lattice Boltzmann method (LBM) solver for mildly turbulent flow of water using a direct numerical simulation (DNS) approach. The current study considers different boundary conditions such as no-slip, free-slip, and Navier-slip conditions on the walls with variations in slip length and wall-slip anisotropy. Results are evaluated through mean isotherms, streamlines, root-mean-square fluctuations, and Nusselt number. The results obtained demonstrate that the selection of wall-boundary conditions has a significant influence on the flow organization within the cavity and on the heat transfer across it.</abstract>
    <parentTitle language="eng">New Results in Numerical and Experimental Fluid Mechanics XV : contributions to the 24th STAB/DGLR Symposium, Regensburg, Germany, 2024</parentTitle>
    <identifier type="doi">10.1007/978-3-032-11115-9_9</identifier>
    <identifier type="isbn">978-3-032-11115-9</identifier>
    <identifier type="issn">1612-2909</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T11:09:41Z","timestamp":1771844981796,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032111142","type":"print"},{"value":"9783032111159","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-11115-9_9","type":"book-chapter","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T10:45:05Z","timestamp":1771843505000},"page":"90-100","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Investigating Slip-Velocity Boundary Conditions in\u00a0Turbulent Thermal Convection Using a\u00a0Lattice Boltzmann Method"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8175-6683","authenticated-orcid":false,"given":"Sai Ravi Gupta","family":"Polasanapalli","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0609-8961","authenticated-orcid":false,"given":"Marten","family":"Klein","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6475-6646","authenticated-orcid":false,"given":"Heiko","family":"Schmidt","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,24]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Tritton, D.J.: Internally heated convection in the atmosphere of Venus and in the laboratory. Nature 257(5522), 110\u2013112 (1975)","DOI":"10.1038\/257110b0"},{"issue":"6","key":"9_CR2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.96.066001","volume":"96","author":"CH Choi","year":"2006","unstructured":"Choi, C.H., Kim, C.J.: Large slip of aqueous liquid flow over a nanoengineered superhydrophobic surface. Phys. Rev. Lett. 96(6), 066001 (2006)","journal-title":"Phys. Rev. Lett."},{"issue":"1","key":"9_CR3","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1146\/annurev-fluid-121108-145558","volume":"42","author":"JP Rothstein","year":"2010","unstructured":"Rothstein, J.P.: Slip on superhydrophobic surfaces. Annu. Rev. Fluid Mech. 42(1), 89\u2013109 (2010)","journal-title":"Annu. Rev. Fluid Mech."},{"issue":"8","key":"9_CR4","doi-asserted-by":"publisher","first-page":"2455","DOI":"10.1021\/ie0712941","volume":"47","author":"RS Voronov","year":"2008","unstructured":"Voronov, R.S., Papavassiliou, D.V., Lee, L.L.: Review of fluid slip over superhydrophobic surfaces and its dependence on the contact angle. Ind. Eng. Chem. Res. 47(8), 2455\u20132477 (2008)","journal-title":"Ind. Eng. Chem. Res."},{"issue":"7","key":"9_CR5","doi-asserted-by":"publisher","DOI":"10.1063\/5.0056967","volume":"33","author":"MA Samaha","year":"2021","unstructured":"Samaha, M.A., Gad-el-Hak, M.: Slippery surfaces: a decade of progress. Phys. Fluids 33(7), 071301 (2021)","journal-title":"Phys. Fluids"},{"issue":"7","key":"9_CR6","doi-asserted-by":"publisher","first-page":"L55","DOI":"10.1063\/1.1755723","volume":"16","author":"T Min","year":"2004","unstructured":"Min, T., Kim, J.: Effects of hydrophobic surface on skin-friction drag. Phys. Fluids 16(7), L55\u2013L58 (2004)","journal-title":"Phys. Fluids"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Fukagata, K., Kasagi, N., Koumoutsakos, P.: A theoretical prediction of friction drag reduction in turbulent flow by superhydrophobic surfaces. Phys. Fluids 18(5) (2006)","DOI":"10.1063\/1.2205307"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Mayeed, M.S., Patnaik, S.S., Mitchell, R.: Heat transfer enhancement using miniaturized channel sections with surface modifications. In: Proceedings of the ASME 2016 IMECE2016. ASME, USA (2016)","DOI":"10.1115\/IMECE2016-65187"},{"issue":"3","key":"9_CR9","doi-asserted-by":"publisher","DOI":"10.1063\/5.0084515","volume":"34","author":"SRG Polasanapalli","year":"2022","unstructured":"Polasanapalli, S.R.G., Anupindi, K.: Large-eddy simulation of turbulent natural convection in a cylindrical cavity using an off-lattice Boltzmann method. Phys. Fluids 34(3), 035125 (2022)","journal-title":"Phys. Fluids"},{"issue":"2","key":"9_CR10","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/S0169-5983(99)00018-0","volume":"26","author":"W Schoppa","year":"2000","unstructured":"Schoppa, W., Hussain, F.: Coherent structure dynamics in near-wall turbulence. Fluid Dyn. Res. 26(2), 119\u2013139 (2000)","journal-title":"Fluid Dyn. Res."},{"key":"9_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijheatmasstransfer.2024.125395","volume":"225","author":"SRG Polasanapalli","year":"2024","unstructured":"Polasanapalli, S.R.G., Anupindi, K.: Turbulent mixed convection in a horizontal cylindrical cavity with the off-lattice Boltzmann method. Int. J. Heat Mass Transf. 225, 125395 (2024)","journal-title":"Int. J. Heat Mass Transf."},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Polasanapalli, S.R.G., Klein, M., Schmidt, H.: Towards stochastic subgrid-scale modeling of turbulent thermal convection in an under-resolved off-lattice Boltzmann method. PAMM, e202300223 (2023)","DOI":"10.1002\/pamm.202300223"},{"issue":"978\u20133","key":"9_CR13","first-page":"4","volume":"10","author":"T Kr\u00fcger","year":"2017","unstructured":"Kr\u00fcger, T., Kusumaatmaja, H., Kuzmin, A., Shardt, O., Silva, G., Viggen, E.M.: The lattice Boltzmann method. Springer Int. Publ. 10(978\u20133), 4\u201315 (2017)","journal-title":"Springer Int. Publ."}],"container-title":["Notes on Numerical Fluid Mechanics and Multidisciplinary Design","New Results in Numerical and Experimental Fluid Mechanics XV"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11115-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T10:45:06Z","timestamp":1771843506000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11115-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032111142","9783032111159"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11115-9_9","relation":{},"ISSN":["1612-2909","1860-0824"],"issn-type":[{"value":"1612-2909","type":"print"},{"value":"1860-0824","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"24 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"STAB\/DGLR Symposium","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"STAB\/DGLR Symposium","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Regensburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"stabdglr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bfm.rcbe.de\/stab2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}</enrichment>
    <enrichment key="opus_crossrefDocumentType">book-chapter</enrichment>
    <enrichment key="local_crossrefLicence">https://www.springernature.com/gp/researchers/text-and-data-mining</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorIdentifierOrcid_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorIdentifierOrcid_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorIdentifierOrcid_3,PublisherName,PublisherPlace,TitleMain_1,Language,TitleParent_1,PageNumber,PageFirst,PageLast,PublishedYear,IdentifierIsbn,IdentifierIssn,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Referiert">Beitrag ist referiert / Article peer-reviewed</enrichment>
    <enrichment key="ConferencePlace">Regensburg, Germany</enrichment>
    <enrichment key="ConferenceTitle">STAB/DGLR Symposium 2024</enrichment>
    <enrichment key="RelationnotEU">85056897; 03SF0693A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Forschung, Technologie und Raumfahrt</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="UBICOseries">Notes on numerical fluid mechanics and multidisciplinary design ; 156</enrichment>
    <author>
      <firstName>Sai Ravi Gupta</firstName>
      <lastName>Polasanapalli</lastName>
    </author>
    <editor>
      <firstName>Andreas</firstName>
      <lastName>Dillmann</lastName>
    </editor>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <editor>
      <firstName>Gerd</firstName>
      <lastName>Heller</lastName>
    </editor>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <editor>
      <firstName>Ewald</firstName>
      <lastName>Heller</lastName>
    </editor>
    <editor>
      <firstName>Christian</firstName>
      <lastName>Breitsamer</lastName>
    </editor>
    <editor>
      <firstName>Claus</firstName>
      <lastName>Wagner</lastName>
    </editor>
    <editor>
      <firstName>Lars</firstName>
      <lastName>Krenkel</lastName>
    </editor>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rayleigh-Bénard convection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Navier-slip condition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>lattice Boltzmann method</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>37844</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>image</type>
    <publisherName/>
    <publisherPlace>Marseille, France</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-02-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">The role of slip in turbulent thermal convection</title>
    <identifier type="url">https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Polasanapalli_2025_OpenLB_Poster.pdf</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <author>
      <firstName>Sai Ravi Gupta</firstName>
      <lastName>Polasanapalli</lastName>
    </author>
    <submitter>
      <firstName>Sai Ravi Gupta</firstName>
      <lastName>Polasanapalli</lastName>
    </submitter>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>37835</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>11</pageLast>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue>1</issue>
    <volume>26</volume>
    <type>articler</type>
    <publisherName>Wiley</publisherName>
    <publisherPlace>Weinheim</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-02-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Non‐negligible influence of forcing mechanisms on turbulent mixing at low Reynolds numbers : a one‐dimensional turbulence study</title>
    <abstract language="eng">This study presents a numerical investigation of passive scalar mixing in homogeneous isotropic turbulence (HIT). Different volumetric forcing schemes have been used in the literature, but the side effects are rarely discussed, either because these are assumed irrelevant or because it is too costly to conduct such an analysis with a high‐fidelity model. In this study, we have used One‐Dimensional Turbulence (ODT) model to compare forcing schemes at low Reynolds numbers. Our analysis reveals critical flaws in the linear forcing model when applied to ODT. While both schemes exhibit spectral deviations from direct numerical simulation (DNS), the stochastic forcing scheme demonstrates superior dynamic fidelity, better capturing the turbulent energy cascade. In contrast, the linear forcing scheme suffers from a non‐physical energy deficit at large scales and is approximately 10 times more computationally expensive. These artefacts directly impact scalar mixing: The stochastic scheme produces classic, multi‐scale intermittency, whereas linear forcing generates extreme gradients confined only at the dissipative scales. These results demonstrate that the choice of forcing is a critical modelling decision in ODT, leading to fundamentally different model‐dependent artifacts in both turbulence dynamics and scalar mixing statistics, at least in low Reynolds number regimes.</abstract>
    <parentTitle language="eng">Proceedings in applied mathematics and mechanics : PAMM</parentTitle>
    <identifier type="doi">https://doi.org/10.1002/pamm.70073</identifier>
    <identifier type="issn">1617-7061</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T14:22:58Z","timestamp":1769178178839,"version":"3.49.0"},"reference-count":13,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T00:00:00Z","timestamp":1769126400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T00:00:00Z","timestamp":1769126400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proc Appl Math and Mech"],"published-print":{"date-parts":[[2026,3]]},"abstract":"&lt;jats:title&gt;ABSTRACT&lt;\/jats:title&gt;\n                  &lt;jats:p&gt;This study presents a numerical investigation of passive scalar mixing in homogeneous isotropic turbulence (HIT). Different volumetric forcing schemes have been used in the literature, but the side effects are rarely discussed, either because these are assumed irrelevant or because it is too costly to conduct such an analysis with a high\u2010fidelity model. In this study, we have used One\u2010Dimensional Turbulence (ODT) model to compare forcing schemes at low Reynolds numbers (upto ). Our analysis reveals critical flaws in the linear forcing model when applied to ODT. While both schemes exhibit spectral deviations from direct numerical simulation (DNS), the stochastic forcing scheme demonstrates superior dynamic fidelity, better capturing the turbulent energy cascade. In contrast, the linear forcing scheme suffers from a non\u2010physical energy deficit at large scales and is approximately 10 times more computationally expensive. These artefacts directly impact scalar mixing: The stochastic scheme produces classic, multi\u2010scale intermittency, whereas linear forcing generates extreme gradients confined only at the dissipative scales. These results demonstrate that the choice of forcing is a critical modelling decision in ODT, leading to fundamentally different model\u2010dependent artefacts in both turbulence dynamics and scalar mixing statistics, at least in low Reynolds number\u00a0regimes.&lt;\/jats:p&gt;","DOI":"10.1002\/pamm.70073","type":"journal-article","created":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T13:18:44Z","timestamp":1769174324000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Non\u2010Negligible Influence of Forcing Mechanisms on Turbulent Mixing at Low Reynolds Numbers: A One\u2010Dimensional Turbulence Study"],"prefix":"10.1002","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8696-3575","authenticated-orcid":false,"given":"Abhishek","family":"Joshi","sequence":"first","affiliation":[{"name":"Lehrstuhl Numerische Str\u00f6mungs\u2010 und Gasdynamik Brandenburgische Technische Universit\u00e4t Cottbus\u2010Senftenberg Cottbus Germany"},{"name":"Scientific Computing Lab (SCL) Energie\u2010Innovationszentrum (EIZ) Brandenburgische Technische Universit\u00e4t Cottbus\u2010Senftenberg Cottbus Germany"}]},{"given":"Marten","family":"Klein","sequence":"additional","affiliation":[{"name":"Lehrstuhl Numerische Str\u00f6mungs\u2010 und Gasdynamik Brandenburgische Technische Universit\u00e4t Cottbus\u2010Senftenberg Cottbus Germany"},{"name":"Scientific Computing Lab (SCL) Energie\u2010Innovationszentrum (EIZ) Brandenburgische Technische Universit\u00e4t Cottbus\u2010Senftenberg Cottbus Germany"}]},{"given":"Heiko","family":"Schmidt","sequence":"additional","affiliation":[{"name":"Lehrstuhl Numerische Str\u00f6mungs\u2010 und Gasdynamik Brandenburgische Technische Universit\u00e4t Cottbus\u2010Senftenberg Cottbus Germany"},{"name":"Scientific Computing Lab (SCL) Energie\u2010Innovationszentrum (EIZ) Brandenburgische Technische Universit\u00e4t Cottbus\u2010Senftenberg Cottbus Germany"}]}],"member":"311","published-online":{"date-parts":[[2026,1,23]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1017\/S0022112005004040","article-title":"Very Fine Structures in Scalar Mixing","volume":"531","author":"Schumacher J.","year":"2005","journal-title":"Journal of Fluid Mechanics"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0022112099005376"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00162-012-0267-9"},{"key":"e_1_2_8_5_1","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevFluids.5.044308","article-title":"Turbulence Modulation in Particle\u2010Laden Stationary Homogeneous Isotropic Turbulence Using One\u2010Dimensional Turbulence","volume":"5","author":"Fistler M.","year":"2020","journal-title":"Physical Review Fluids"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0022112001005778"},{"key":"e_1_2_8_7_1","volume-title":"Linearly Forced Isotropic Turbulence","author":"Lundgren T.","year":"2003"},{"key":"e_1_2_8_8_1","doi-asserted-by":"crossref","DOI":"10.1063\/1.4944629","article-title":"Constant\u2010Energetics Physical\u2010Space Forcing Methods for Improved Convergence to Homogeneous\u2010Isotropic Turbulence With Application to Particle\u2010Laden Flows","volume":"28","author":"Bassenne M.","year":"2016","journal-title":"Physics of Fluids"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/0045-7930(88)90013-8"},{"issue":"3","key":"e_1_2_8_10_1","doi-asserted-by":"crossref","DOI":"10.1063\/1.4795333","article-title":"Decaying Versus Stationary Turbulence in Particle\u2010Laden Isotropic Turbulence: Heavy Particle Statistics Modifications","volume":"25","author":"Abdelsamie A. H.","year":"2013","journal-title":"Physics of Fluids"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0022112087002167"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511840531"},{"key":"e_1_2_8_13_1","unstructured":"F. T.Meiselbach \u201cApplication of ODT to Turbulent Flow Problems \u201ddiploma thesis Brandenburg University of Technology Cottbus\u2010Senftenberg(2015)."},{"key":"e_1_2_8_14_1","doi-asserted-by":"crossref","first-page":"R5","DOI":"10.1017\/jfm.2025.10441","article-title":"Scale Invariance of Intermittency in LES Turbulence","volume":"1016","author":"Magacho B.","year":"2025","journal-title":"Journal of Fluid Mechanics"}],"container-title":["PAMM"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pamm.70073","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/pamm.70073","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pamm.70073","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T13:18:46Z","timestamp":1769174326000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/pamm.70073"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,23]]},"references-count":13,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["10.1002\/pamm.70073"],"URL":"https:\/\/doi.org\/10.1002\/pamm.70073","archive":["Portico"],"relation":{},"ISSN":["1617-7061","1617-7061"],"issn-type":[{"value":"1617-7061","type":"print"},{"value":"1617-7061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,23]]},"assertion":[{"value":"2025-08-14","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-12-24","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-01-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70073"}}</enrichment>
    <enrichment key="opus_crossrefDocumentType">journal-article</enrichment>
    <enrichment key="local_crossrefLicence">http://creativecommons.org/licenses/by/4.0/</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorIdentifierOrcid_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PublisherName,TitleMain_1,Language,TitleAbstract_1,TitleParent_1,ArticleNumber,Issue,Volume,PublishedYear,IdentifierIssn,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Referiert">Beitrag ist referiert / Article peer-reviewed</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="RelationnotEU">85056897; 03SF0693A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Forschung, Technologie und Raumfahrt</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>
      <firstName>Abhishek</firstName>
      <lastName>Joshi</lastName>
    </author>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Homogeneous isotropic turbulence (HIT)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulent mixing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stochastic modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>One-dimensional turbulence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Forcing schemes</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>37784</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>304</pageFirst>
    <pageLast>311</pageLast>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_ref</type>
    <publisherName>Budapest University of Technology and Economics</publisherName>
    <publisherPlace>Budapest, Hungary</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-02-03</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigation of radius ratio effects on velocity statistics in annular pipe flow using one-dimensional turbulence</title>
    <parentTitle language="eng">Proceedings of the Conference on Modelling Fluid Flow CMFF’25</parentTitle>
    <identifier type="url">https://www.cmff.hu/papers25/CMFF25_Conference_Proceedings.pdf</identifier>
    <identifier type="isbn">978-615-112-002-6</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <submitter>
      <firstName>Pei-Yun</firstName>
      <lastName>Tsai</lastName>
    </submitter>
    <author>
      <firstName>Pei-Yun</firstName>
      <lastName>Tsai</lastName>
    </author>
    <author>
      <firstName>Li Toong</firstName>
      <lastName>Yap</lastName>
    </author>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
  </doc>
  <doc>
    <id>37783</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>13</pageLast>
    <pageNumber>13</pageNumber>
    <edition/>
    <issue/>
    <volume>119</volume>
    <type>articler</type>
    <publisherName>Elsevier BV</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-02-03</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Numerical simulation of turbulent concentric annular pipe flow using one-dimensional turbulence (ODT) : part 1 : momentum transfer</title>
    <abstract language="eng">Turbulent concentric coaxial (annular) pipe flow is numerically investigated using a stochastic one-dimensional turbulence (ODT) model as standalone tool. The dimensionally reduced ODT domain enables fully resolved numerical simulations of the flow across the radial gap between the cylindrical inner wall and the cylindrical outer wall. The model is calibrated with available reference data at low bulk Reynolds number for a wide (radius ratio ) and a moderate () gap. Making use of the model’s predictive capabilities, radius ratio and Reynolds number effects are investigated, reaching bulk Reynolds numbers as large as . Despite the large values reached, spanwise wall-curvature effects remain sensible in the momentum boundary layer. The effects are more pronounced for larger wall curvature and to leading orders restricted to the convex cylindrical inner wall. Wall-curvature corrections to the law of the wall are obtained for both the viscous and Reynolds-stress dominated regions by fitting analytically derived expressions for the flow profile to the stochastic simulation data, demonstrating physical compatibility with Reynolds-averaged Navier–Stokes flow. Second-order and detailed fluctuation statistics demonstrate the permeating and nonlocal influence of spanwise wall curvature on the turbulent boundary layer. Surrogate model output in terms of conditional eddy event statistics reveals that the disparity between the near-inner and near-outer wall turbulence increases with Reynolds number for small radius ratios, suggesting that annular pipe flows require wall-curvature-aware wall models even at very large Reynolds numbers.</abstract>
    <parentTitle language="eng">International journal of heat and fluid flow</parentTitle>
    <identifier type="doi">10.1016/j.ijheatfluidflow.2026.110281</identifier>
    <identifier type="issn">1879-2278</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>
      <firstName>Pei-Yun</firstName>
      <lastName>Tsai</lastName>
    </author>
    <submitter>
      <firstName>Pei-Yun</firstName>
      <lastName>Tsai</lastName>
    </submitter>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Concentric coaxial annulus</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Spanwise wall curvature</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stochastic modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulence statistics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulent boundary layer</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
  </doc>
  <doc>
    <id>37089</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>271</pageFirst>
    <pageLast>276</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue>26</issue>
    <volume>59</volume>
    <type>articler</type>
    <publisherName>Elsevier BV</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-12-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Map-based stochastic turbulence modeling for utilization in wind engineering</title>
    <abstract language="eng">Aeroelastic simulation tools provide means for modeling wind energy systems and their response to control actions, but these tools are notably limited by the representation of the atmospheric turbulence variability under changing conditions. The objective of this study is to assess the potential for more realistic fluctuation modeling by utilizing stochastic one-dimensional turbulence (ODT). As preliminary step towards control-oriented applications, wind speed fuctuations generated by ODT are compared to those from a state-of-the-art model, such as TurbSim. It is demonstrated that weak excursions are statistically similar, whereas ODT offers a broader variability range and enhanced turbulence intermittency features.</abstract>
    <parentTitle language="eng">IFAC-PapersOnLine</parentTitle>
    <identifier type="doi">10.1016/j.ifacol.2025.12.046</identifier>
    <identifier type="issn">2405-8963</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T12:33:17Z","timestamp":1765456397606,"version":"3.46.0"},"reference-count":31,"publisher":"Elsevier BV","issue":"26","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["IFAC-PapersOnLine"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1016\/j.ifacol.2025.12.046","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T12:27:19Z","timestamp":1765456039000},"page":"271-276","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Map-based Stochastic Turbulence Modeling for Utilization in Wind Engineering"],"prefix":"10.1016","volume":"59","author":[{"given":"Marten","family":"Klein","sequence":"first","affiliation":[]},{"given":"Zubaer","family":"Haque","sequence":"additional","affiliation":[]},{"given":"Heiko","family":"Schmidt","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ifacol.2025.12.046_bib1","series-title":"The Theory of Homogeneous Turbulence","author":"Batchelor","year":"1953"},{"key":"10.1016\/j.ifacol.2025.12.046_bib2","doi-asserted-by":"crossref","first-page":"A19","DOI":"10.1017\/jfm.2019.895","article-title":"Supersaturation fluctuations in moist turbulent Rayleigh\u2013B\u00e9nard convection: a two-scalar transport problem.","volume":"884","author":"Chandrakar","year":"2020","journal-title":"J. Fluid Mech."},{"issue":"5","key":"10.1016\/j.ifacol.2025.12.046_bib3","first-page":"052042","article-title":"Aeroelastic code comparison using the IEA 22MW reference turbine.","volume":"2767","author":"Collier","year":"2024","journal-title":"J. Phys.: Conf. Ser."},{"key":"10.1016\/j.ifacol.2025.12.046_bib4","doi-asserted-by":"crossref","unstructured":"Glauert, H. (1935). Airplane Propellers\u201c chapter Aerodynamic Theory, 169\u2013360. Springer, Berlin Heidelberg, Germany. doi: 10.1007\/978-3-642-91487-4_3.","DOI":"10.1007\/978-3-642-91487-4_3"},{"issue":"11","key":"10.1016\/j.ifacol.2025.12.046_bib5","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1175\/BAMS-D-11-00187.1","article-title":"Stable atmospheric boundary layers and diurnal cycles: Challenges for weather and climate models.","volume":"94","author":"Holtslag","year":"2013","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"10.1016\/j.ifacol.2025.12.046_bib6","series-title":"Wind Energy Generation Systems\u2013Part 1: Design Requirements. IEC 61400-1:2019 standard","author":"International Electrotechnical Commission","year":"2019"},{"key":"10.1016\/j.ifacol.2025.12.046_bib7","series-title":"TurbSim User\u2019s Guide Version 1.06.00","author":"Jonkman","year":"2012"},{"key":"10.1016\/j.ifacol.2025.12.046_bib8","doi-asserted-by":"crossref","unstructured":"Jonkman, J., Butterfield, S., Musial, W., and Scottn, G. (2009). Definition of a 5-MW reference wind turbine for offshore system development. Technical Report NREL\/TP-500-38060, National Renewable Energy Laboratory.","DOI":"10.2172\/947422"},{"key":"10.1016\/j.ifacol.2025.12.046_bib9","doi-asserted-by":"crossref","unstructured":"Kelley, N.D. and Jonkman, B.J. (2007). Overview of the TurbSim stochastic inflow turbulence simulator. Technical Report NREL\/TP-500-41137, National Renewable Energy Laboratory.","DOI":"10.2172\/891590"},{"key":"10.1016\/j.ifacol.2025.12.046_bib10","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1017\/S0022112099005376","article-title":"One-dimensional turbulence: Model formulation and application to homogeneous turbulence, shear flows, and buoyant stratified flows.","volume":"392","author":"Kerstein","year":"1999","journal-title":"J. Fluid Mech."},{"key":"10.1016\/j.ifacol.2025.12.046_bib11","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1017\/S0022112001005778","article-title":"One-dimensional turbulence: vector formulation and application to free shear flows.","volume":"447","author":"Kerstein","year":"2001","journal-title":"J. Fluid Mech."},{"key":"10.1016\/j.ifacol.2025.12.046_bib12","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/s10546-005-9004-x","article-title":"Simulation of a stably stratified atmospheric boundary layer using one-dimensional turbulence.","volume":"118","author":"Kerstein","year":"2006","journal-title":"Bound.-Lay. Meteorol."},{"key":"10.1016\/j.ifacol.2025.12.046_bib13","doi-asserted-by":"crossref","first-page":"117","DOI":"10.5194\/asr-19-117-2022","article-title":"Exploring stratification effects in stable Ekman boundary layers using a stochastic one-dimensional turbulence model.","volume":"19","author":"Klein","year":"2022","journal-title":"Adv. Sci. Res."},{"issue":"3","key":"10.1016\/j.ifacol.2025.12.046_bib14","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/s00162-012-0267-9","article-title":"Mesh adaption for efficient multiscale implementation of one-dimensional turbulence.","volume":"27","author":"Lignell","year":"2013","journal-title":"Theor. Comput. Fluid Dyn."},{"key":"10.1016\/j.ifacol.2025.12.046_bib15","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1090\/qam\/51649","article-title":"On Taylor\u2019s hypothesis and the acceleration terms in the Navier\u2013Stokes equation.","volume":"10","author":"Lin","year":"1953","journal-title":"Quart. Appl. Math."},{"issue":"1","key":"10.1016\/j.ifacol.2025.12.046_bib16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5194\/wes-5-1-2020","article-title":"Implementation of the blade element momentum model on a polar grid and its aeroelastic load impact.","volume":"5","author":"Madsen","year":"2020","journal-title":"Wind Energ. Sci."},{"key":"10.1016\/j.ifacol.2025.12.046_bib17","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1017\/S0022112094001886","article-title":"The spatial structure of neutral atmospheric surface-layer turbulence.","volume":"273","author":"Mann","year":"1994","journal-title":"J. Fluid Mech."},{"key":"10.1016\/j.ifacol.2025.12.046_bib18","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/S0266-8920(97)00036-2","article-title":"Wind field simulation.","volume":"13","author":"Mann","year":"1998","journal-title":"Prob. Engng. Mech."},{"key":"10.1016\/j.ifacol.2025.12.046_bib19","unstructured":"Marten, D. (2019). QBlade: A modern tool for the aeroelastic simulation of wind turbines. Ph.D. thesis, TU Berlin. doi: 10.14279\/depositonce-10646."},{"key":"10.1016\/j.ifacol.2025.12.046_bib20","unstructured":"Marten, D., Saverin, J., Behrens de Luna, R., and Perez-Becker, S. (2024). QBlade documentation. URL https:\/\/docs.qblade.org. Version 2.0.8."},{"key":"10.1016\/j.ifacol.2025.12.046_bib21","series-title":"Advanced aerodynamic modeling and control strategies for load reduction in aeroelastic wind turbine simulations. Ph.D","author":"Perez-Becker","year":"2021"},{"issue":"3","key":"10.1016\/j.ifacol.2025.12.046_bib22","doi-asserted-by":"crossref","first-page":"783","DOI":"10.3390\/en14030783","article-title":"Implementation and validation of an advanced wind energy controller in aero-servo-elastic simulations using the lifting line free vortex wake model.","volume":"14","author":"Perez-Becker","year":"2021","journal-title":"Energies"},{"issue":"7","key":"10.1016\/j.ifacol.2025.12.046_bib23","first-page":"072054","article-title":"Enrichment methods for inflow turbulence generation in the atmospheric boundary layer.","volume":"1037","author":"Quon","year":"2018","journal-title":"J. Phys.: Conf. Ser."},{"key":"10.1016\/j.ifacol.2025.12.046_bib24","series-title":"Improving BEM-based aerodynamic models in wind turbine design codes. Ph.D","author":"Sant","year":"2007"},{"issue":"6","key":"10.1016\/j.ifacol.2025.12.046_bib25","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.5194\/wes-7-2307-2022","article-title":"Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer.","volume":"7","author":"Shaw","year":"2022","journal-title":"Wind Energ. Sci."},{"key":"10.1016\/j.ifacol.2025.12.046_bib26","doi-asserted-by":"crossref","first-page":"10503","DOI":"10.1007\/s00521-021-06323-w","article-title":"Deep learning and fuzzy logic to implement a hybrid wind turbine pitch control.","volume":"34","author":"Sierra-Garcia","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.ifacol.2025.12.046_bib27","unstructured":"Statistisches Bundesamt (2024). Stromerzeugung 2023: 56% aus erneuerbaren Energietr\u00e4gern. Press release no. 087 from 7 March 2024."},{"key":"10.1016\/j.ifacol.2025.12.046_bib28","first-page":"100641","article-title":"One-dimensional turbulence (ODT): Computationally efficient modeling and simulation of turbulent flows.","volume":"13","author":"Stephens","year":"2021","journal-title":"Soft. X"},{"key":"10.1016\/j.ifacol.2025.12.046_bib29","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1146\/annurev-fluid-010816-060206","article-title":"Flow structure and turbulence in wind farms.","volume":"49","author":"Stevens","year":"2017","journal-title":"Annu. Rev. Fluid Mech."},{"issue":"6","key":"10.1016\/j.ifacol.2025.12.046_bib30","doi-asserted-by":"crossref","first-page":"2491","DOI":"10.5194\/wes-7-2491-2022","article-title":"Grand challenges: wind energy research needs for a global energy transition.","volume":"7","author":"Veers","year":"2022","journal-title":"Wind Energ. Sci."},{"issue":"7","key":"10.1016\/j.ifacol.2025.12.046_bib31","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.5194\/wes-8-1133-2023","article-title":"Applying a random time mapping to Mann-modeled turbulence for the generation of intermittent wind fields.","volume":"8","author":"Yassin","year":"2023","journal-title":"Wind Energ. Sci."}],"container-title":["IFAC-PapersOnLine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405896325027223?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405896325027223?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T12:28:31Z","timestamp":1765456111000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2405896325027223"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":31,"journal-issue":{"issue":"26","published-print":{"date-parts":[[2025]]}},"alternative-id":["S2405896325027223"],"URL":"https:\/\/doi.org\/10.1016\/j.ifacol.2025.12.046","relation":{},"ISSN":["2405-8963"],"issn-type":[{"value":"2405-8963","type":"print"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Map-based Stochastic Turbulence Modeling for Utilization in Wind Engineering","name":"articletitle","label":"Article Title"},{"value":"IFAC-PapersOnLine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ifacol.2025.12.046","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2025. The Authors. Peer review under responsibility of International Federation of Automatic Control.","name":"copyright","label":"Copyright"}]}}</enrichment>
    <enrichment key="opus_crossrefDocumentType">journal-article</enrichment>
    <enrichment key="local_crossrefLicence">https://www.elsevier.com/tdm/userlicense/1.0/</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PublisherName,TitleMain_1,Language,TitleParent_1,PageNumber,PageFirst,PageLast,Issue,Volume,PublishedYear,IdentifierIssn,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Referiert">Beitrag ist referiert / Article peer-reviewed</enrichment>
    <enrichment key="ConferencePlace">Padova, Italy</enrichment>
    <enrichment key="ConferenceTitle">J3C ICONS</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="RelationnotEU">85056897; 03SF0693A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Forschung, Technologie und Raumfahrt</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Zubaer</firstName>
      <lastName>Haque</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Boundary element method</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computer-aided engineering</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Control applications</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dynamic models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stochastic modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Variability</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>36999</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>7</pageLast>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue>4</issue>
    <volume>25</volume>
    <type>articler</type>
    <publisherName>Wiley</publisherName>
    <publisherPlace>Weinheim</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-12-09</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Towards an improved wall function formulation for Reynolds-Averaged Navier–Stokes simulations of turbulent concentric coaxial pipe flows</title>
    <abstract language="eng">Concentric coaxial (annular) pipe flow is numerically investigated using a high Reynolds number (HRN) Reynolds-Averaged Navier–Stokes (RANS) approach, given direct numerical simulation (DNS) boundary conditions. Previous work has shown that traditional wall models fail in predicting bulk quantities due to insufficient representation of the inner wall. The main objective is to assess the suitability of RANS for prediction of the flowfield if a wall function that captures the effect of the inner wall spanwise curvature at small radius ratios is provided. As a starting point, the mixing length model is used as the RANS turbulence model. The results suggest that while improved mean flow statistics can potentially be obtained, an accurate wall model representation is insufficient for capturing the mean flow in terms of the location of the velocity maximum properly.</abstract>
    <parentTitle language="deu">Proceedings in applied mathematics and mechanics : special issue: 95th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)</parentTitle>
    <identifier type="doi">10.1002/pamm.70025</identifier>
    <identifier type="issn">1617-7061</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Referiert">Beitrag ist referiert / Article peer-reviewed</enrichment>
    <enrichment key="ConferenceTitle">Proceedings in Applied Mathematics and Mechanics</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <submitter>
      <firstName>Li Toong</firstName>
      <lastName>Yap</lastName>
    </submitter>
    <author>
      <firstName>Li Toong</firstName>
      <lastName>Yap</lastName>
    </author>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <author>
      <firstName>Juan A.</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>36964</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>8</pageLast>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_ref</type>
    <publisherName>Department of Fluid Mechanics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics</publisherName>
    <publisherPlace>Budapest</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-12-08</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Numerical investigation of a lifted methane/air jet flame using stochastic map-based turbulence modeling</title>
    <abstract language="eng">This numerical study investigates a lifted methane/air jet flame in a vitiated coflow by means of the map-based, stochastic one-dimensional turbulence (ODT) model. The dimensional reduction of ODT allows for simulations with affordable computational costs and provides nonetheless full-scale resolution along a notional line of sight crossing the turbulent flow field. The considered Cabra burner configuration consists of a jet flame issuing from a central nozzle into a vitiated coflow of hot combustion products. &#13;
Radial and centerline profiles for mixture fraction, temperature and selected species mass fractions obtained from ODT using a reduced and detailed reaction mechanism are in appropriate agreement with the existing experimental measurements. A two-dimensional illustration of the autoignition index is given, which enables the distinction between autoignition and propagation driven reaction zones.  Additionally, the sensitivity of the jet combustion to velocity and temperature variations is investigated. Considering the reduced order of ODT and the sensitivity of the subtle interactions of the hot coflow with the cold jet on the entire reaction process, ODT is able to predict the flow characteristics and reasonably matches the experimental data. As a consequence, ODT is an efficient and alternative model for turbulent reactive flow simulations.</abstract>
    <parentTitle language="eng">Proceedings of the Conference on Modelling Fluid Flow CMFF’25</parentTitle>
    <identifier type="url">https://www.cmff.hu/papers25/CMFF25_Final_Paper_PDF_63.pdf</identifier>
    <identifier type="isbn">978-615-112-002-6</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="RelationnotEU">85056897 and 03SF0693A</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="ConferencePlace">Budapest, Hungary</enrichment>
    <enrichment key="ConferenceTitle">Conference on Modelling Fluid Flow (CMFF’25) The 19th International Conference on Fluid Flow Technologies</enrichment>
    <author>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </author>
    <submitter>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </submitter>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Autoigniton</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Lifted jet flame</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Methane/air combustion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ODT</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>One-dimensional turbulence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stochastic turbulence modeling</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>36963</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>39</pageLast>
    <pageNumber>39</pageNumber>
    <edition/>
    <issue/>
    <volume>1020</volume>
    <type>articler</type>
    <publisherName>Cambridge University Press</publisherName>
    <publisherPlace>Cambridge</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-12-08</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Hierarchical parcel-swapping representation of turbulent mixing : part 4 : extension to the viscous range and to mixing of scalars with non-unity Schmidt numbers</title>
    <abstract language="eng">Hierarchical parcel swapping (HiPS) is a multiscale stochastic model of turbulent mixing based on a binary tree. Length scales decrease geometrically with increasing tree level, and corresponding time scales follow inertial range scaling. Turbulent eddies are represented by swapping subtrees. Lowest-level swaps change fluid parcel pairings, with new pairings instantly mixed. This formulation suitable for unity Schmidt number Sc is extended to non-unity Sc. For high Sc, the tree is extended to the Batchelor level, assigning the same time scale (governing the rate of swap occurrences) to the added levels as the time scale at the base of the Sc=3 tree. For low Sc, a swap at the Obukhov–Corrsin level mixes all parcels within corresponding subtrees. Well-defined model analogues of turbulent diffusivity, and mean scalar-variance production and dissipation rates are identified. Simulations idealising stationary homogeneous turbulence with an imposed scalar gradient reproduce various statistical properties of viscous-range and inertial-range pair dispersion, and of the scalar power spectrum in the inertial-advective, inertial-diffusive and viscous-advective regimes. The viscous-range probability density functions of pair separation and scalar dissipation agree with applicable theory, including the stretched-exponential tail shape associated with viscous-range scalar intermittency. Previous observation of that tail shape for Sc=1, heretofore not modelled or explained, is reproduced. Comparisons to direct numerical simulation allow evaluation of empirical coefficients, facilitating quantitative applications. Parcel-pair mixing is a common mixing treatment, e.g. in subgrid closures for coarse-grained flow simulation, so HiPS can improve model physics simply by smarter (yet nearly cost-free) selection of pairs to be mixed.</abstract>
    <parentTitle language="eng">Journal of fluid mechanics</parentTitle>
    <identifier type="doi">doi:10.1017/jfm.2025.10512</identifier>
    <identifier type="issn">0022-1120</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="RelationnotEU">85056897 and 03SF0693A</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <firstName>Masoomeh</firstName>
      <lastName>Behrang</lastName>
    </author>
    <submitter>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </submitter>
    <author>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </author>
    <author>
      <firstName>Isaac</firstName>
      <lastName>Wheeler</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <author>
      <firstName>Alan</firstName>
      <lastName>Kerstein</lastName>
    </author>
    <author>
      <firstName>David</firstName>
      <lastName>Lignell</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulence modelling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Coupled diffusion and flow</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dispersion</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>36962</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>7</pageLast>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume>31</volume>
    <type>articler</type>
    <publisherName>Elsevier BV</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-12-08</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A C++ library for turbulent mixing simulation using Hierarchical Parcel Swapping (HiPS)</title>
    <abstract language="eng">Turbulence models are crucial for simulating flows at all scales, capturing both large-scale structures and small-scale mixing. Software libraries that implement such models should support modular integration, customization, and scalability across different simulation frameworks. This paper presents Hierarchical Parcel Swapping (HiPS), a C++ library documented with Doxygen and available on GitHub. HiPS supports both mixing and reactions and can be used as a standalone model or as a subgrid model in CFD simulations. The code includes examples for users to run it as a standalone model. Additionally, considerations for using it as a subgrid model are provided.</abstract>
    <parentTitle language="eng">SoftwareX</parentTitle>
    <identifier type="issn">2352-7110</identifier>
    <identifier type="doi">10.1016/j.softx.2025.102331</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International</licence>
    <author>
      <firstName>Masoomeh</firstName>
      <lastName>Behrang</lastName>
    </author>
    <submitter>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </submitter>
    <author>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <author>
      <firstName>David O.</firstName>
      <lastName>Lignell</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mixing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reaction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulence</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>36717</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>21</pageLast>
    <pageNumber>21</pageNumber>
    <edition/>
    <issue/>
    <volume>117, Part B</volume>
    <type>articler</type>
    <publisherName>Elsevier BV</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-11-17</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Evaluating turbulent channel flows with rough walls : homogeneous roughness parameterization for use in a map-based turbulence model</title>
    <abstract language="eng">This work is focused on modeling the effects of homogeneous roughness on low-order velocity statistics in turbulent channel flows. Hydrodynamic effects due to the roughness are characterized on the basis of volume-averaging theory (VAT) and a discrete roughness element method. This theory exploits the homogeneous character of the roughness in order to reduce the complexity of the flow to its one-dimensional statistics. The formulated VAT-based roughness forcing is best suited for drag dominated surfaces. Turbulence modeling closure is achieved with a map-based turbulence model, the One-Dimensional Turbulence (ODT) model. This avoids the prescription of laws of the wall or other ad-hoc scalings, unlike in more traditional filter-based turbulence models. The modeling framework is applied on selected Reynolds number flows for likewise selected roughness topologies. Results are compared to direct numerical simulation (DNS) data available from the literature. Among others, model results are compared with those of a previously formulated parametric forcing approach (PFA) for roughness drag which involved a costly coefficient calibration linked to the roughness topology model. In ODT, the only calibration process required is the same one involved for the turbulence model parameters, i.e., similar to the ODT model application for smooth-wall flows. Despite all of the inherently implied shortcomings of a 1-D model, some appealing properties of ODT are discussed. Notably, the model is able to predict the roughness function, as well as the wall-normal profile of the Reynolds shear stress across the entire boundary layer thickness.</abstract>
    <parentTitle language="eng">International journal of heat and fluid flow</parentTitle>
    <identifier type="url">https://www.sciencedirect.com/science/article/pii/S0142727X25003716#d1e18585</identifier>
    <identifier type="doi">10.1016/j.ijheatfluidflow.2025.110113</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="RelationnotEU">03SF0693A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Forschung, Technologie und Raumfahrt</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>
      <firstName>Juan Ali</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <submitter>
      <firstName>Juan Ali</firstName>
      <lastName>Medina Méndez</lastName>
    </submitter>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <author>
      <firstName>Jurriaan W. R.</firstName>
      <lastName>Peeters</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulent channel</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Roughness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ODT</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Volume-averaging</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
  </doc>
  <doc>
    <id>36640</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_ref</type>
    <publisherName>Budapest University of Technology and Economics</publisherName>
    <publisherPlace>Budapest</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-11-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">ODTLES : large-eddy simulation with autonomous stochastic subgrid-scale modeling applied to turbulent duct flow</title>
    <abstract language="eng">In this work, we discuss the application of the One-Dimensional Turbulence-based (very) Large-Eddy Simulation model, abbreviated as ODTLES, to turbulent duct flow. ODTLES is a multi-scale flow model in which an autonomous stochastic One-Dimensional Turbulence (ODT) model, capable of simulating the full bandwidth of time and length-scales in a 1-D domain, is supplemented with large-scale 3-D information coming from a very large eddy simulation (VLES) grid. ODTLES is more expensive than any other VLES, but could be cheaper than highly resolved LES or, naturally, than Direct Numerical Simulation (DNS). Unlike Reynolds-Averaged Navier–Stokes (RANS) and VLES, ODTLES does neither need a wall model, nor a damping function. The correct near-wall behavior is naturally obtained from one SGS ODT domain that is locally wall-normal. The proposed hybrid (3-D/1-D) approach allows the resolution of all relevant scales, modeling certain aspects of 3-D turbulence on the SGS scale. Here, turbulent duct flow is considered as an example, which poses a moderate challenge for traditional LES due to emerging secondary flows that manifest themselves by corner vortices that crucially depend on the accurate capturing of small and large scale motions. Preliminary results indicate a reasonable match with DNS for mean velocity profiles, although capturing secondary flow&#13;
structures remains a challenge at this stage. Further refinements of the solver and modeling approach are ongoing to improve accuracy and predictive capabilities.</abstract>
    <parentTitle language="eng">Proceedings of the Conference on Modelling Fluid Flow CMFF’25</parentTitle>
    <identifier type="isbn">978-615-112-002-6</identifier>
    <identifier type="url">https://www.cmff.hu/papers25/CMFF25_Conference_Proceedings.pdf</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Relation">85056897, 03SF0693A</enrichment>
    <enrichment key="BTUfunderName">Bundesministerium für Bildung und Forschung (BMBF)</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <firstName>Pavle</firstName>
      <lastName>Marinkovic</lastName>
    </author>
    <submitter>
      <firstName>Pavle</firstName>
      <lastName>Marinkovic</lastName>
    </submitter>
    <author>
      <firstName>Juan A.</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Duct flow</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Large Eddy Simulation (LES)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multiscale modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>One-Dimensional</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulence (ODT)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ODTLES</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulence model-</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ing</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
  <doc>
    <id>36637</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_ref</type>
    <publisherName>Budapest University of Technology and Economics</publisherName>
    <publisherPlace>Budapest</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-11-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Effects of wall slip on large-scale flow in turbulent Rayleigh–Bénard convection</title>
    <abstract language="eng">The current study investigates the effects of surface boundary conditions—no-slip, free-slip, and finite-slip-on flow dynamics and heat transfer inturbulent Rayleigh–Bénard (RB) convection for different Prandtl numbers. Using a three-dimensional lattice Boltzmann method (LBM) solver in direct numerical simulation (DNS) mode, simulations are performed for three Prandtl numbers Pr = 0.786, 4.38, 10 and two Rayleigh numbers Ra = 2 ×10^6 , 10^7 . The aim is to understand how surface conditions influence flow patterns, thermal mixing, and heat transfer efficiency in a cubic cavity with heated bottom and cooled top walls. Results show that free-slip conditions significantly enhance heat transfer, yielding higher Nusselt numbers due to thinner thermal boundary layers and stronger convective currents. In contrast, finite-slip conditions produce results similar to no-slip cases, indicating minimal impact for the slip lengths considered. The results demonstrate that surface boundary conditions play a role in modulating flow dynamics and heat transfer in RB convection.</abstract>
    <parentTitle language="eng">Proceedings of the Conference on Modelling Fluid Flow CMFF’25</parentTitle>
    <identifier type="isbn">978-615-112-002-6</identifier>
    <identifier type="url">https://www.cmff.hu/papers25/CMFF25_Conference_Proceedings.pdf</identifier>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="RelationnotEU">85056897; 03SF0693A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Forschung, Technologie und Raumfahrt</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <firstName>Sai Ravi Gupta</firstName>
      <lastName>Polasanapalli</lastName>
    </author>
    <submitter>
      <firstName>Sai Ravi Gupta</firstName>
      <lastName>Polasanapalli</lastName>
    </submitter>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Lattice Boltzmann method (LBM)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Navier-slip</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Prandtl number effects</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rayleigh–Bénard (RB) convection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Surface boundary conditions</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulent flows</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
  </doc>
</export-example>
