<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>31294</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>613</pageFirst>
    <pageLast>618</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_ref</type>
    <publisherName>ERCOFTAC</publisherName>
    <publisherPlace>Barcelona, Spain</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-09-11</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Reduced order stochastic modeling of turbulent mixing based on conservative baker’s maps</title>
    <abstract language="eng">The detailed numerical representation of turbulent mixing processes is a standing challenge for non-premixed chemically reacting flows. The full range of relevant flow scales needs to be captured and it is also necessary to distinguish turbulent advective from molecular diffusive processes in order to represent Reynolds and Schmidt number effects. These requirements are addressed here by utilizing two different map-based stochastic turbulence modeling strategies. The one-dimensional turbulence (ODT) model utilizes event-based turbulence modeling, whereas the hierarchical parcel-swapping (HiPS) model is a fully event-based mixing model. ODT provides full-scale resolution at affordable costs by dimensional model reduction based on the boundary-layer approximation to shear flow. HiPS is far less costly than ODT but currently limited to locally homogeneous isotropic turbulence. The physics-compatible modeling capabilities with respect to phase-space representation of turbulent mixing are demonstrated for two canonical cases using standalone model formulations.</abstract>
    <parentTitle language="eng">Proceedings of the 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements (ETMM-14)</parentTitle>
    <identifier type="url">https://etmm.ercoftac.org/etmm/program/conference-program/</identifier>
    <identifier type="url">https://drive.google.com/file/d/1q2BDOO5bXfqq0Y4z4HCGndiFI033bPyg/view?usp=drive_link</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="RelationnotEU">85056897; 03SF0693A;  03EWS002A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Bildung und Forschung</enrichment>
    <enrichment key="Artikelnummer">152</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <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>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Tommy</firstName>
      <lastName>Starick</lastName>
    </author>
    <author>
      <firstName>Christian</firstName>
      <lastName>Zenker</lastName>
    </author>
    <author>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>turbulent mixing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>one-dimensional turbulence (ODT)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>hierarchical parcel swapping (HiPS)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>stochastic turbulence modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>round jet</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>passive scalar</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>30360</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>111</pageFirst>
    <pageLast>127</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>43</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-02-20</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Stochastic modeling of electrohydrodynamically enhanced drag in one-way and fully coupled turbulent Poiseuille and Couette flow</title>
    <abstract language="eng">Joint predictive modeling of hydrodynamics and electrokinetics is a standing numerical challenge but crucial for various applications in electrochemistry and power engineering. The present lack in modeling of electrohydrodynamic (EHD) turbulent flows lies in the treatment of small-scale processes and scale interactions. To overcome these limitations, a stochastic one-dimensional turbulence (ODT) model is utilized. The model aims to resolve all scales of the flow, but only on a notional line-of-sight, modeling turbulent advection by a stochastically sampled sequence of eddy events that punctuate deterministic molecular diffusive advancement. In this study, two canonical flow configurations are investigated that address different coupling strategies and flow physics. First, EHD effects in a variable-density vertical pipe flow of an ideal gas with an inner concentric electrode are investigated with a one-way coupled model formulation. Electric fields are generated by means of a corona discharge and the corresponding effect of a fixed ionic charge density field. Second, in order to reduce physical complexity, EHD effects the turbulent boundary layers in plane Couette flow of an isothermal univalent ionic liquid are investigated with a fully coupled model formulation. Both application cases demonstrate that ODT has predictive capabilities due to multiscale resolution of transport processes. Present results suggest that more expensive fully than one-way coupling of electrokinetics is crucial when charge relaxation times are significantly larger than the mean advection time scale.</abstract>
    <parentTitle language="deu">Technische Mechanik</parentTitle>
    <identifier type="issn">0232-3869</identifier>
    <identifier type="doi">10.24352/UB.OVGU-2023-049</identifier>
    <note>This article is part of the "Special Issue for CMFF’22".</note>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <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>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>turbulent drag enhancement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>electrohydrodynamic turbulence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>high Schmidt number</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>multiphysical boundary layers</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>one-dimensional 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>30693</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>S. 343</pageFirst>
    <pageLast/>
    <pageNumber>1</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>image</type>
    <publisherName>Deutsche Physikalische Gesellschaft</publisherName>
    <publisherPlace>Bad Honnef</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-11</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Predicting volatile wind energy: Stochastic forward modeling and machine learning</title>
    <parentTitle language="eng">86. Jahrestagung der DPG (86th Annual Conference of the DPG), DPG-Frühjahrstagung 2023, (DPG Spring Meeting 2023 of the Matter and Cosmos Section (SMuK), 20-24 March 2023, Technische Universität Dresden</parentTitle>
    <identifier type="issn">2751-0522</identifier>
    <identifier type="url">https://smuk23.dpg-tagungen.de/programm/assets/verhandlungen-smuk23.pdf</identifier>
    <identifier type="url">https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Klein_poster_dpg23.pdf</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">AKPIK 1.2</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="UBICOseries">Verhandlungen der Deutschen Physikalischen Gesellschaft ; Reihe 6, Band 58</enrichment>
    <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>
    <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>Mark Simon</firstName>
      <lastName>Schöps</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>29668</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>1</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>image</type>
    <publisherName>Innovation Hub 13, TH Wildau</publisherName>
    <publisherPlace>Wildau</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-12-05</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Simulating Volatile Wind Energy: Stochastic Forward Modeling and Machine Learning</title>
    <abstract language="eng">The transformation of the energy sector is based on the integration of various renewable sources, such as wind and solar energy. One of the key challenges for the integration of these sources into the existing power grid is their erratic and sometimes discontinuous availability (volatility). Wind energy is one of the most relevant sources of CO2 neutral electric energy, but volatile due to fluctuating wind fields on multiple scales. This has already been realized so that senors provide real-time information on the scale of individual wind turbines. However, fore- casting remains an unresolved problem since numerical weather prediction models cannot provide the necessary level of detail. New modeling strategies are required that integrate turbine-scale and meso-scale information for accurate site-specific short-term prediction. Present and forthcoming research aims to incorporate fluctuations on multiple levels of fidelity, depending on the abstraction layer</abstract>
    <identifier type="url">https://ai-science-atlas.innohub13.de/files/pdf/NSGSimulatingVolatileWindEnergyBTUpdf.pdf</identifier>
    <identifier type="url">https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Klein_poster_KI-Atlas22.pdf</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <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>
    <author>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </author>
    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
    </submitter>
    <author>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <author>
      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>AI transfer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>AI teaching</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>stochastic modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>machine learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>wind energy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>volatility modeling and prediction</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>35146</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>6</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_ref</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-01-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Fractal roughness representation in a stochastic one-dimensional turbulence modeling approach</title>
    <parentTitle language="eng">Proceedings of the 13th International Symposium on Turbulence and Shear Flow Phenomena (TSFP13), Montréal, Canada, June 25-28, 2024</parentTitle>
    <identifier type="url">http://www.tsfp-conference.org/proceedings/2023/171.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="RelationnotEU">03SF0693A</enrichment>
    <enrichment key="BTUfunderNamenotEU">Bundesministerium für Forschung, Technologie und Raumfahrt</enrichment>
    <author>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
    </author>
    <submitter>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</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>
  </doc>
  <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>
</export-example>
