TY - JOUR A1 - Battig, Alexander A1 - Garfias González, Karla I. A1 - Schartel, Bernhard T1 - Valorizing “non-vegan” bio-fillers: Synergists for phosphorus flame retardants in epoxy resins N2 - Sustainable, biogenic flame retardant adjuvants for epoxy resins are receiving increased focus. Zoological products like insects, bone meal, and eggshells are available in large quantities, but remain uninvestigated as functional fillers to epoxy resins, although they are potential synergists to flame retardants. The efficacy and flame retardancy of “non-vegan” additives in combination with flame retardants is investigated and the fire behavior and thermal decomposition of bio-sourced epoxy resin composites is characterized. By comparing the fire performance of composites containing flame retardants or fillers at varying loadings (5, 10, and 20%), their role as synergists that enhance the function of organophosphorus flame retardants in bio-epoxy composites is identified and quantified. Peak heat release rates were 44% lower in composites containing both filler and flame retardant versus those containing only flame retardants, and fire loads were reduced by 44% versus the pure resin, highlighting the ability of “non-vegan” fillers to function as synergists. KW - Flame retardancy KW - Synergy KW - Bio-composite KW - Epoxy resin KW - Biogenic KW - Renewable PY - 2022 DO - https://doi.org/10.1016/j.polymdegradstab.2022.109875 SN - 0141-3910 VL - 198 SP - 109875 PB - Elsevier Ltd. AN - OPUS4-54438 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Eilers, M. A1 - Alte-Teigeler, R. A1 - Borchers, R. A1 - Gallai, G. A1 - Habiger, D. A1 - Recknagel, Christoph A1 - Karczewski, B. A1 - Koll, J. A1 - Lorenz, S. A1 - Marossow, H. A1 - Schneider, Th. A1 - Seiffart, J. A1 - Stark, S. A1 - et al., T1 - Technische Prüfvorschriften für Fahrbahnübergänge aus Asphalt, TL/TP-ING - Teil 6, Abschnitt 7 N2 - Technische Lieferbedingungen und Technische Prüfvorschriften für Ingenieurbauten KW - Brückenbeläge KW - Asphaltbauweisen KW - Fahrbahnübergänge PY - 2022 SN - 978-3-86446-343-3 VL - 780/3 SP - 1 EP - 26 PB - FGSV Verlag GmbH CY - Köln AN - OPUS4-56218 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Strommer, Bettina A1 - Battig, Alexander A1 - Frasca, Daniele A1 - Schulze, Dietmar A1 - Huth, Christian A1 - Böhning, Martin A1 - Schartel, Bernhard T1 - Multifunctional Property Improvements by Combining Graphene and Conventional Fillers in Chlorosulfonated Polyethylene Rubber Composites N2 - The incorporation of nanoparticles like multilayer graphene (MLG) into elastomeric composites boosts their technical performance, such as their mechanical behavior and electrical conductivity. Common filler types (carbon black (CB) and aluminum trihydroxide (ATH)) generally fulfill single, specific purposes and are often used in high loadings. CB typically reinforces rubber mechanically, while ATH increases flame retardancy. Small amounts of MLG reduce these high filler contents and maintain the multifunctional characteristics of rubber composites. In chlorosulfonated polyethylene (CSM) + ATH, an intrinsically flame-retardant rubber was designed to achieve the highest standards such as maximum average of heat emission (MARHE) <90 kW m−2, 3 phrMLG was substituted for 15 phr CB and/or 3 phr ATH via an industrially applicable processing approach. Replacing either CB or ATH resulted in a property profile that was multifunctionally improved in terms of features such as mechanical performance, reduced sorption, and flame retardance. MLG nanocomposites are reported to show promise as an industrially utilizable route to obtain multifunctional high-performance rubbers. KW - Nanocomposites KW - Rubber KW - Multilayer graphene KW - Flame retardancy KW - Synergy KW - Nanoparticles KW - Elastomers PY - 2022 DO - https://doi.org/10.1021/acsapm.1c01469 SN - 2637-6105 VL - 4 IS - 2 SP - 1021 EP - 1034 PB - ACS Publ. CY - Washington, DC AN - OPUS4-54330 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Fladt, Matthias T1 - Internal water-repellent treatment – a novel strategy for mitigating alkali-aggregate reaction in concrete pavements N2 - To prevent future alkali-aggregate reaction (AAR) damage, which has occurred frequently in the German highway network in recent years, a new regulation has been drafted. This regulation severely limits the use of alkali-sensitive aggregates by requiring that their suitability be verified by certified inspectors using newly developed AAR concrete tests that involve the external supply of alkali. This has led to a significant limitation in the number of aggregates usable for concrete pavements. A novel AAR avoidance strategy is now being pursued, which aims to enable the use of borderline alkali-sensitive aggregates through the application of an internal water-repellent treatment. The addition of water repellents during concrete production should significantly reduce the ingress of water and external de-icing salts into the concrete pavement, thus reducing the potential for AAR damage. This paper presents the results of laboratory tests to assess the suitability of this new AAR prevention strategy. Representative, highly AAR-susceptible road paving concrete made with an alkali-sensitive greywacke and various water repellents were used as the basis for these experiments. The tests for concrete suitability included determining the conventional fresh and hardened concrete properties as well as concrete prism tests with external alkaline supply. Building on these results, laser-induced breakdown spectroscopy (LIBS) analyses of de-icing-salt intrusion as well as microscopic examinations for verification of the AAR characteristics were carried out. The results of the AAR concrete tests with external alkaline supply support the conclusion that, when hydrophobic agents containing a suitable active ingredient are used, the AAR damage process in road paving concrete can be sufficiently prevented. T2 - 16th International Conference on Alkali-Aggregate Reaction in Concrete CY - Lisboa, Portugal DA - 31.05.2022 KW - Concrete pavements KW - Internal water-repellent treatment KW - Preventive measures KW - Testing for potential AAR PY - 2022 AN - OPUS4-56870 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT A1 - Weise, Frank A1 - Hüsken, Götz T1 - Ringversuch zum statischen Spaltzugversuch nach AL Sp-Beton N2 - Für die rechnerische Dimensionierung der Betondecken im Oberbau von Verkehrsflächen für den Neubau sowie die Erneuerung nach RDO-Beton 09 ist die statische Spaltzugfestigkeit an der unteren und oberen Bohrkernscheibe entsprechend der Vorgaben der AL Sp-Beton zu bestimmen. Aufgrund der unzureichenden Kenntnis der Präzision dieses Prüfverfahrens wurden, basierend auf dem Entwurf des FGSV-Merkblatts zur statistischen Auswertung von Prüfergebnissen, mit einem breit aufgestellten Ringversuch die statistischen Kennwerte an Labor- und Bestandsbetonen unter Vergleich- und Wiederholbedingungen ermittelt. Zur möglichst guten statistischen Absicherung nahmen an dem Ringversuch dreizehn erfahrene Prüfstellen teil, die vorab einem Audit unterzogen wurden. Zur Abdeckung des vielschichtigen Einsatzes des Prüfverfahrens erfolgte der Ringversuch an acht Prüflosen, die sowohl die Erst-/ Eignungsprüfung und Übereinstimmungskontrolle bei Neubaumaßnahmen, als auch die Restsubstanzbewertung von Betonfahrbahnplatten berücksichtigen. Zur Bewertung des Materialeinflusses wurde zusätzlich ein Prüflos mit Labormörtel untersucht. Die Probenvorbereitung erfolgte zentral an der BAM. Zur Sicherstellung einheitlicher Prüfbedingungen bei den Prüfstellen wurde zusätzlich eine detaillierte Standardarbeitsanweisung erarbeitet, die partiell bereits Eingang in das Normenwerk gefunden hat. Bei der Plausibilitätsprüfung aller prüflosspezifischen Einzelwerte der Spaltzug- und Druckfestigkeit wurden vereinzelt sowohl Ausführungsfehler als auch Übertragungs- und Tippfehler festgestellt. Der sich anschließende Lilliefors-Test zeigt, dass die ermittelten Einzelwerte bis auf wenige Aus-nahmen normalverteilt sind und damit die Voraussetzungen für die statistische Auswertung gegeben sind. Mittels grafischer Darstellung der Mandel’s h- und k-Werte wurden die Auffälligkeiten hinsichtlich der Mittelwerte und Varianzen prüflosspezifisch für die einzelnen Prüfstellen visualisiert und anschließend einige von ihnen mittels Grubbs- und Cochran-Test als Ausreißer identifiziert. Nach Ausreißerelimination wurde mit dem klassischen Verfahren bei der Spaltzugfestigkeit der geringste Variationskoeffizient unter Vergleich- und Wiederholbedingungen bei der Erst-/Eignungsprüfung mit 6,2 und 6,4 Prozent ermittelt. Bei einer Verminderung des Materialeinflusses durch die Verwendung eines Labormörtels verbessern sich die statistischen Kennwerte auf 4,5 und 5,3 Prozent. Mit 8,2 und 9,5 Prozent beziehungsweise 8,6 und 9,5 Prozent werden bei der Restsubstanzbewertung von Wasch- und Unterbetonen die höchsten Werte bestimmt. Das robuste Auswerteverfahren (ohne Eliminierung der Ausreißer) nach dem Entwurf des FGSV-Merkblatts zur statistischen Auswertung von Prüfergebnissen erwies sich in der Form als ungeeignet und bedurfte einer Überarbeitung. Bezüglich der vergleichend mit klassischen und robusten Verfahren gewonnenen Kennwerte ist festzustellen, dass bei sehr homogenen Messergebnissen eines Prüfloses beide Verfahren nahezu die gleichen statistischen Kennwerte liefern. Bei der Eliminierung von Ausreißern sind die Ergebnisse des robusten Verfahrens in der Regel etwas größer als die des klassischen Verfahrens. Die begleitenden vertiefenden Untersuchungen bei der Spaltzugprüfung mit innovativen Prüftechniken lieferten wertvolle Erkenntnisse zur Bewertung der Prüfeinflüsse. N2 - The computational design of concrete pavements according to the requirements of the RDO-Beton 09 requires the splitting tensile strength to be determined according to specifications of the AL Sp-Beton. However, detailed information on the precision of the described test procedure is missing. Therefore, a round robin test was set up in order to determine the statistical parameters of the prescribed splitting tensile strength test on laboratory concrete and cores extracted from concrete pavements in terms of repeatability and reproducibility. 13 testing institutes have been involved in the round robin test to guarantee a representative coverage of the sector. The selected testing institutes have been audited prior the round robin test in order to ensure their capabilities. The round robin test was divided into 8 testing lots for covering the broad field of possible applications. Thereby, the testing lots cover both the initial testing of concrete and quality control of new construction. The latter case implies also the assessment of existing concrete pavements. Additionally, a cementitious mortar was designed in order to consider the influence of the material, such as maximum grain size, on the test procedure. The samples were prepared at BAM to guarantee a uniform sample preparation. Furthermore, a standard operating procedure was prepared to assure constant test conditions at the testing institutes. This standard operating procedure is already partly considered by the corresponding standard. A revision of the data reported by the testing institutes revealed that execution errors, transcription errors as well as typing errors occurred. However, a Lilliefors-Test was conducted to verify the Gaussian distribution of the reported test data and to allow the further statistical analysis. Only view data sets do not follow a Gaussian distribution, has no remarkable influence on the obtained statistical data. By means of the graphical illustration of Mandel’s h- and k-values, abnormalities of the arithmetic mean and variance are depicted. These apparent abnormalities can be identified as outliers using the Grubbs and Cochran test. After eliminating the identified outliers, the corresponding statistical parameters have been determined using the classical method for data analysis. The lowest coefficient of variation that was determined for the splitting tensile strength by using the classical method for assessment of the repeatability and reproducibility of the test procedure amounts to 6.2 and 6.4%, respectively, for the initial testing of concrete. Reducing the material influence by using a cementitious mortar, the corresponding statistical parameters were reduced to 4.5 and 5.3%. On the contrary, the highest statistical values were obtained for the assessment of existing concrete pavements. Here, values of 8.2 and 9.5% were obtained for the exposed aggregate concrete and 8.6 and 9.5% for the subconcrete, respectively. The robust method for data analysis (without elimination of outliers) according to the draft version of the technical bulletin of the FGSV turned out to be inappropriate and required, therefore, a revision. Comparing the statistical parameters obtained by the classical and robust method used for data analysis it can be stated that both methods result in nearly identical values for homogeneous data sets without outliers. Considering outliers in the existing data sets, the statistical parameters obtained by the robust method are slightly higher than the values obtained by the classical method with elimination of outliers. The additional investigations on the splitting tensile strength using innovative test procedures provided valuable findings for the assessment of test results. KW - Verfahrenspräzision KW - Betonfahrbahndecke KW - Prüfverfahren AL Sp-Beton KW - Spaltzugfestigkeit KW - Ringversuch PY - 2022 SN - 978-3-95606-688-7 SN - 0943-9323 VL - Straßenbau Heft S 178 SP - 1 EP - 90 PB - Fachverlag NW in der Carl Ed. Schünemann KG CY - Bremen AN - OPUS4-54957 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CHAP A1 - Küttenbaum, Stefan A1 - Braml, T. A1 - Taffe, A. A1 - Maack, Stefan ED - Pellegrino, C. ED - Faleschini, F. ED - Zanini, M.A. ED - Matos, J.C. ED - Casas, J.R. ED - Strauss, A. T1 - From Uncertainty in Measurement to Certainty in Bridge Reassessment N2 - "The reassessment of bridges continues to take great importance both nationally and internationally. A major challenge is to find computation models reflecting the actual properties of the considered structures sufficiently accurate. Besides regular inspections, the conduction of advanced measurements is suitable to generate reliable information about a structure to be assessed. Prior to incorporating measurement results in reassessment, the relevance, the trueness, and the precision of the measured information needs to be stated. On the one hand, the use of information whose quality has not been assessed can lead to errors with serious consequences. On the other, the measurement of irrelevant information is inefficient. Although the use of measured data in assessment is currently mostly unregulated, their appreciation in reliability analyses is beneficial since the built environment can be assessed more realistically. Utilizing NDT in reassessment has the potential to extend remaining lifetimes of a structure, save resources, and improve infrastructural availabilities. The power of judgment regarding the decision on the reliability of an existing structure can be increased. In this contribution, an approach is outlined to process non-destructively gathered measurement data in a comparableway in order to include themeasured information in probabilistic reliability assessments of existing structures. An essential part is the calculation of measurement uncertainties. The effect of incorporating evaluated NDT-results is demonstrated by means of a prestressed concrete bridge and GPR measurements conducted on this bridge as a case-study. The bridge is assessed regarding SLS Decompression using the NDT-results." KW - Reliability KW - Assessment KW - Existing structures KW - NDT KW - Concrete PY - 2022 DO - https://doi.org/10.1007/978-3-030-91877-4_58 VL - 200 SP - 509 EP - 517 PB - Springer CY - Cham AN - OPUS4-54019 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Herrmann, Ralf T1 - Digitalisierung sichert die Bauwerke von gestern und das Wissen von morgen N2 - Die moderne Gesellschaft in Deutschland und Europa profitiert von der hervorragenden baulichen Infrastruktur, die für uns viele Aspekte aus den Bereichen Mobilität, Energieversorgung, Transport, Umweltschutz, (Nah-)Erholung und Gefahrenabwehr zur Alltäglichkeit werden lassen und uns ein hohes Gefühl der technischen Sicherheit vermitteln. Viele der Annehmlichkeiten, wie beispielweise ein Hochgeschwindigkeitseisenbahnverkehrsnetz, zuverlässige Stromversorgung im europäischen Verbundsystem und ein immenser Personen-, Güter- und Warenverkehr auf der Straße, zu Wasser und in der Luft ist ohne eine leistungsfähige, resiliente und zuverlässige bauliche Infrastruktur undenkbar. KW - Bauwerksmonitoring KW - Bauwerksdiagnostik KW - Digitalisierung PY - 2022 DO - https://doi.org/10.1002/bate.202270303 SN - 1437-0999 SN - 0932-8351 VL - 99 IS - 3 SP - 161 EP - 162 PB - Ernst & Sohn GmbH CY - Berlin AN - OPUS4-54557 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Recknagel, Christoph A1 - Hoppe, Johannes A1 - Eilers, M. T1 - Technische Lieferbedingungen für die Dichtungsschicht aus einer Polymerbitumen-Schweißbahn zur Herstellung von Brückenbelägen auf Beton TL/TP-ING - Teil 7: Brückenbeläge, Abschnitt 1 N2 - In den "Technischen Lieferbedingungen für die Dichtungsschicht aus einer Polymerbitumen-Schweißbahn zur Herstellung von Brückenbelägen auf Beton" (TL BEL-B 1) sind die Regelungen über die erforderlichen Voraussetzungen zur Verwendung von Polymerbitumen-Schweißbahnen zur Ausbildung einer Dichtungsschicht aus einer einlagigen Polymerbitumen-Schweißbahn auf Beton aufgeführt. Sie umfassen den grundsätzlichen Nachweis der Funktionsfähigkeit und Dauerhaftigkeit sowie die Sicherstellung des nachgewiesenen Qualitätsniveaus. KW - Brückenbeläge KW - Asphaltbauweise KW - PmB Schweißbahn KW - Technische Anforderungen PY - 2022 SN - 978-3-86446-325-9 VL - 783/1 SP - 1 EP - 8 PB - FGSV Verlag GmbH CY - Köln AN - OPUS4-54853 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Unger, Jörg F. T1 - Combining Data and Simulation Models in real time - A Digital Twin for Bridge monitoring N2 - Im Rahmen des Vortrages wurde das Konzept eines digitalen Zwillings vorgestellt und an verschiedenen Beispielen angefangen von einem Laborversuch über Kleinversuche bis zum Realmaßstab dargestellt. N2 - During the lecture, the concept of a digital twin was presented and illustrated with various examples starting from a laboratory experiment to small-scale and real-scale experiments. T2 - EURAD Second Annual Event (2022) CY - Online meeting DA - 28.03.2022 KW - Digital Twin KW - Bridge Monitoring KW - Simulation Models PY - 2022 UR - https://igdtp.eu/event/eurad-annual-event-2/ AN - OPUS4-54639 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Titscher, Thomas T1 - Model calibration and damage detection for a digital twin N2 - Numerical models are an essential tool in predicting and monitoring the behavior of civil structures. Inferring the model parameters is a challenging tasks as they are often measured indirectly and are affected by uncertainties. Digital twins couple those models with real-world data and can introduce additional, systematic sensor uncertainties related to the sensor calibration, i.e. uncertain offsets and calibration factors. In this work, the challenges of data processing, parameter identification, model selection and damage detection are explored using a lab-scale cable stayed bridge demonstrator. By combining force measurements in the cables with displacement measurements from both laser and stereo-photogrammetry systems, the elastic parameters of a three-dimensional finite element beam model are inferred. Depending on the number of sensors and the number of datasets used, parametrizing the sensor offsets and factors, leads to model with over 100 parameters. With a real-time solution of the problem in mind, a highly efficient analytical variational Bayesian approach is used to solve it within seconds. An analysis of the required assumptions and limitations of the approach, especially w.r.t. to the computed evidence, is provided by a comparison with dynamic nested sampling in a simplified problem. Finally, by inferring the value of additional damage parameters along the bridge, the method is successfully used to detect the location of an artificially introduced weak spot in the demonstrator bridge. T2 - ECCOMAS 2022 CY - Oslo, Norway DA - 05.06.2022 KW - Bayesian identification KW - Digital twin KW - Variational Bayesian KW - Damage detection PY - 2022 AN - OPUS4-55083 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Diercks, Philipp T1 - Multiscale modeling of heterogeneous structures based on a localized model order reduction approach N2 - Many of today’s problems in engineering demand reliable and accurate prediction of failure mechanisms of mechanical structures. Herein, it is necessary to take into account the heterogeneous structure on the lower scale, to capture the underlying physical phenomena. However, this poses a great challenge to the numerical solution as the computational cost is significantly increased by resolving the lower scale in the model. Moreover, in applications where scale separation as the basis of classical homogenization schemes does not hold, the influence of the lower scale on the upper scale has to be modelled directly. This work aims to develop an efficient concurrent methodology to model heterogeneous structures combining the variational multiscale method (VMM) [1] and model order reduction techniques (e. g. [2]). First, the influence of the lower scale on the upper scale can be taken into account following the additive split of the displacement field as in the VMM. Here, also a decomposition of the global domain into subdomains, each containing a fine grid discretization of the lower scale, is introduced. Second, reduced approximation spaces for the upper and lower scale solution are constructed by exploring possible solutions for each subdomain based on a representative unit cell. The local reduced spaces are designed such that local contributions of each subdomain can be coupled in a conforming way. Thus, the resulting global system is sparse and reduced in size compared to the direct numerical simulation, leading to a faster solution of the problem. The authors gratefully acknowledge financial support by the German Research Foundation (DFG), project number 394350870, and by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC Grant agreement No. 818473). T2 - The 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) 2022 CY - Oslo, Norway DA - 05.06.2022 KW - Multiscale methods KW - Variational multiscale method KW - Domain decomposition KW - Model order reduction PY - 2022 AN - OPUS4-55117 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tamsen, Erik T1 - Towards an automatic optimization framework for performance oriented precast concrete design N2 - Concrete has a long history in the construction industry and is currently one of the most widely used building materials. Especially precast concrete elements are frequently utilized in construction projects for standardized applications, increasing the quality of the composite material, as well as reducing the required building time. Despite the accumulated knowledge, continuous research and development in this field is essential due to the complexity of the composite combined with the ever-growing number of applications and requirements. Especially in view of global climate change, design aspects as CO2 emissions and resource efficiency require new mix designs and optimization strategies. A result of the material’s high complexity and heterogeneity on multiple scales is that utilizing the full potential with changing demands is highly challenging, even for the established industry. We propose a framework based on an ontology, which automatically combines experimental data with numerical simulations. This not only simplifies experimental knowledge transfer, but allows the model calibration and the resulting simulation predictions to be reproducible and interpretable. This research shows a way towards a more performance oriented material design. Within this talk we present our workflow for an automated simulation of a precast element, demonstrating the interaction of the ontology and the finite element simulation. We show the automatic calibration of our early-age concrete model [1, 2], to improve the prediction of the optimal time for the removal of the form work. T2 - The 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) 2022 CY - Oslo, Norway DA - 05.06.2022 KW - Performance oriented concrete design KW - Early-age concrete KW - Precast concrete KW - Ontology KW - Optimization workflow PY - 2022 AN - OPUS4-55302 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Simon, Patrick A1 - Herrmann, Ralf A1 - Schneider, Ronald A1 - Hille, Falk A1 - Baeßler, Matthias A1 - El-Athman, Rukeia T1 - Research Data Management of Structural Health Monitoring Projects and Subsequent Applications of Artificial Intelligence Methods N2 - Structural health monitoring (SHM) intends to improve the management of engineering structures. The number of successful SHM projects – especially SHM research projects – is ever growing, yielding added value and more scientific insight into the management of infrastructure asset. With the advent of the data age, the value of accessible data becomes increasingly evident. In SHM, many new data-centric methods are currently being developed at a high pace. A consequent application of research data management (RDM) concepts in SHM projects enables a systematic management of raw and processed data, and thus facilitates the development and application of artificial intelligence (AI) and machine learning (ML) methods to the SHM data. In this contribution, a case study based on an institutional RDM framework is presented. Data and metadata from monitoring the structural health of the Maintalbrücke Gemünden for a period of 16 months are managed with the RDM system BAM Data Store, which makes use of the openBIS data management software. An ML procedure is used to classify the data. Feature engineering, feature training and resulting data are performed and modelled in the RDM system. T2 - 11th International Conference on Bridge Maintenance, Safety and Management (IABMAS2022) CY - Barcelona, Spain DA - 11.07.2022 KW - Research data management KW - Structural health monitoring KW - Artificial intelligence PY - 2022 SN - 978-1-032-35623-5 SN - 978-1-003-32264-1 DO - https://doi.org/10.1201/9781003322641-127 SP - 1061 EP - 1068 PB - CRC Press CY - Boca Raton AN - OPUS4-55493 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hille, Falk A1 - Herrmann, Ralf T1 - Structural Health Monitoring am Großen Fallturm der BAM N2 - In diesem Beitrag wird die Structural Health Monitoring Kampagne am Großen Fallturm der BAM vorgestellt. T2 - Seminar "Zerstörungsfreie Prüfung" CY - Online meeting DA - 13.01.2022 KW - Belastungsversuch KW - Großer Fallturm Horstwalde KW - Schwingungsdynamik KW - Modalanalyse PY - 2022 AN - OPUS4-55478 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hille, Falk A1 - Nerger, Deborah A1 - Moosavi, Robabeh A1 - Grunwald, Marcel T1 - Discussion on data evaluation of tomographic and numerical results N2 - The contribution discusses the processing and analysis of data generated on two different ways of investigations for impact damage in reinforced concrete structures. Damage investigations are essential to determine type and characteristics of damage and thus the residual capacity. Damage describing data is generated using two different types of investigation, a non-destructive tomographic as well as numerical examination. Subsequently, data of both sources was merged and analysed. Within the research project “Behaviour of structural components during impact load conditions caused by aircraft fuel tank collision” reinforces concrete plates were damaged by impact loading, see Hering (2020). Afterwards the damaged specimens were investigated tomographically as well as numerically using several methods and models. Aim of the presented research work was to specify an objective comparability of numerical data with experimentally determined damage patterns and based on this, to establish a quantitative damage evaluation. T2 - 26th International Conference on Structural Mechanics in Reactor Technology CY - Potsdam, Germany DA - 10.07.2022 KW - Impact damage on reinforced concrete KW - Tomographic damage evaluation KW - Numerical damage simulation PY - 2022 SP - 1 EP - 8 AN - OPUS4-55474 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hille, Falk T1 - Discussion on data evaluation of tomographic and numerical results N2 - The contribution discusses the processing and analysis of data generated on two different ways of investigations for impact damage in reinforced concrete structures. Damage investigations are essential to determine type and characteristics of damage and thus the residual capacity. Damage describing data is generated using two different types of investigation, a non-destructive tomographic as well as numerical examination. Subsequently, data of both sources was merged and analysed. Within the research project “Behaviour of structural components during impact load conditions caused by aircraft fuel tank collision” reinforces concrete plates were damaged by impact loading, see Hering (2020). Afterwards the damaged specimens were investigated tomographically as well as numerically using several methods and models. Aim of the presented research work was to specify an objective comparability of numerical data with experimentally determined damage patterns and based on this, to establish a quantitative damage evaluation. T2 - 26th International Conference on Structural Mechanics in Reactor Technology CY - Potsdam, Germany DA - 10.07.2022 KW - Impact damage of reinforced concrete KW - Tomographic damage evaluation KW - Numerical simulation of impact damage PY - 2022 AN - OPUS4-55476 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Simon, Patrick T1 - Research Data Management of Structural Health Monitoring Projects and Subsequent Applications of Artificial Intelligence Methods N2 - Structural health monitoring (SHM) intends to improve the management of engineering structures. The number of successful SHM projects – especially SHM research projects – is ever growing, yielding added value and more scientific insight into the management of infrastructure asset. With the advent of the data age, the value of accessible data becomes increasingly evident. In SHM, many new data-centric methods are currently being developed at a high pace. A consequent application of research data management (RDM) concepts in SHM projects enables a systematic management of raw and processed data, and thus facilitates the development and application of artificial intelligence (AI) and machine learning (ML) methods to the SHM data. In this contribution, a case study based on an institutional RDM framework is presented. Data and metadata from monitoring the structural health of the Maintalbrücke Gemünden for a period of 16 months are managed with the RDM system BAM Data Store, which makes use of the openBIS data management software. An ML procedure is used to classify the data. Feature engineering, feature training and resulting data are performed and modelled in the RDM system. T2 - 11th International Conference on Bridge Maintenance, Safety and Management (IABMAS2022) CY - Barcelona, Spain DA - 11.07.2022 KW - Research data management KW - Structural health monitoring KW - Artificial intelligence PY - 2022 AN - OPUS4-55494 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Simon, Patrick T1 - Sensorbasierte Systemidentifikation N2 - Die aktuelle Instandhaltungsstrategien von Ingenieurbauwerken arbeiten zustandsbasiert und stützen sich auf visuelle Inspektionen in kurzen, starren Intervallen. Beim Übergang zu Predicitive-Maintenance-Strategien können Sensordaten eigesetzt werden um Prognosemodelle der Bauwerke zu aktualisieren. Ein erster Schritt hierzu ist die sensorbasierte Systemidentifikation. T2 - Abschlussveranstaltung AISTEC CY - Berlin, Germany DA - 02.05.2022 KW - Systemidentifikation KW - Strukturmonitoring PY - 2022 AN - OPUS4-55495 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schneider, Ronald T1 - Belastungsversuch und Methodenvalidierung an der Maintalbrücke Gemünden N2 - Im Projekt AISTEC wurden Methoden entwickelt, die der prädiktiven Instandhaltung von Ingenieurbauwerken dienen. Zur Validierung dieser Methoden wurden an einem Referenzbauwerk - der Maintalbrücke Gemünden - Belastungstests durchgeführt. T2 - Abschlussveranstaltung AISTEC CY - Berlin, Germany DA - 02.05.2022 KW - Belastungsfahrt KW - GNSS KW - Einflusslinien PY - 2022 AN - OPUS4-55496 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kremberg, Jan A1 - Häßler, Dustin A1 - Stelzner, Ludwig A1 - Hothan, Sascha T1 - Brandversuche an mechanisch belasteten Carbonzuggliedern N2 - Der Beitrag stellt experimentelle Untersuchungen zum Feuerwiderstand von Carbonzuggliedern vor. Die Anwendung von Zuggliedern aus Carbon ist durch die außergewöhnlich gute Ermüdungs- sowie hohe Zugfestigkeit des Werkstoffs motiviert. Ferner ergibt sich gegenüber Stahl eine deutliche Reduzierung des Querschnitts. Perspektivisch sollen damit Stahlzugglieder im Netzwerkbogenbrückenbau ersetzt werden. Durch die Materialsubstitution werden Ressourcen nicht nur beim Zugglied selbst, sondern auch am Gesamttragwerk der Brücke eingespart. Da zum Tragverhalten von Carbonzuggliedern im Brandfall bislang keine Erkenntnisse vorliegen, sollen mit Hilfe von Bauteilbrandversuchen die Versagensmechanismen sowie die grundsätzliche Gleichwertigkeit gegenüber konventionellen Stahlhängern untersucht werden. Der Beitrag beschreibt die Durchführung und die Ergebnisse von Brandversuchen an mechanisch belasteten Carbonzuggliedern. Die realmaßstäblichen Versuche werden am unikalen Zugbauteil-prüfofen der BAM im Mai 2022 durchgeführt. Das Versuchsprogramm umfasst vier Carbonzugglieder mit kreisrunden Querschnitten in zwei verschiedenen Durchmessern, ⌀36 mm und ⌀51 mm. Aus Gründen der Vergleichbarkeit erfolgt die Brandbeanspruchung nach Einheits-Temperaturzeitkurve (ETK). Während des Brandversuches wird die axiale Prüfkraft von 750 kN bzw. 1500 kN bis zum Eintreten des Probenversagens konstant gehalten. Zusätzlich werden die Längsverformung sowie die Bauteil- und Brandraumtemperaturen aufgezeichnet. In einem Vorversuch an einem unbelasteten Bauteilabschnitt eines Carbonzuggliedes konnte das Brand- und Erwärmungsverhalten des Verbundmaterials untersucht werden. Dabei zeigten sich Makrorisse und eine Zersetzung der Kunststoffmatrix sowie eine hohe Temperaturbeständigkeit der Kohlenstofffasern. Durch das Fehlen der schützenden Matrix reagierten die Carbonfasern sensibel auf Querbeanspruchung. Dies führte zu einem Bruch und Ablösen der oberflächennahen Fasern. T2 - 8th Symposium Structural Fire Engineering CY - Brunswick, Germany DA - 13.09.2022 KW - Carbon KW - Zugglied KW - Brandversuch KW - Feuerwiderstand KW - Brandschutz PY - 2022 SP - 1 EP - 13 PB - TU Braunschweig CY - Braunschweig AN - OPUS4-55704 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -