TY - CONF A1 - Kruschwitz, Sabine T1 - Challenges in Intelligent Computing for Non destructive testing in civil engineering – today and tomorrow N2 - A large amount of data and information is collected in the field of non-destructive testing (NDT) in civil engineering. The weakly structured data are usually evaluated with regard to specific testing tasks (e.g. geometry determination, damage localization, quality assurance). While the data offers great economic potential, i.e. to support construction planning, monitoring and maintenance processes, the evaluation is manual and case-by-case and therefore too inefficient for broader applications. We present recent visions and approaches how these large amounts of data need to be handled in the future and how we aim to make the acquired knowledge accessible to our stakeholders. Building on initiatives in materials research, we stress the importance of further research in the field of semantic data integration particularly motivate why an ontology is needed for the area of NDT in civil engineering. T2 - EG-ICE 2020 CY - Online meeting DA - 01.07.2020 KW - Data analysis KW - Non destructive testing KW - Computational engineering KW - AI PY - 2020 AN - OPUS4-50971 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Understanding distributed data – a semantic web approach for data based analysis of NDT data in civil engineering N2 - In the field of non-destructive testing (NDT) in civil engineering, a large number of measurement data are collected. Although they serve as a basis for scientific analyses, there is still no uniform representation of the data. An analysis of various distributed data sets across different test objects is therefore only possible with high manual effort. We present a system architecture for an integrated data management of distributed data sets based on Semantic Web technologies. The approach is essentially based on a mathematical model - the so-called ontology - which represents the knowledge of our domain NDT. The ontology developed by us is linked to data sources and thus describes the semantic meaning of the data. Furthermore, the ontology acts as a central concept for database access. Non-domain data sources can be easily integrated by linking them to the NDT construction ontology and are directly available for generic use in the sense of digitization. Based on an extensive literature research, we outline the possibilities that this offers for NDT in civil engineering, such as computer-aided sorting, analysis, recognition and explanation of relationships (explainable AI) for several million measurement data. The expected benefits of this approach of knowledge representation and data access for the NDT community are an expansion of knowledge through data exchange in research (interoperability), the scientific exploitation of large existing data sources with data-based methods (such as image recognition, measurement uncertainty calculations, factor analysis, material characterization) and finally a simplified exchange of NDT data with engineering models and thus with the construction industry. Ontologies are already the core of numerous intelligent systems such as building information modeling or research databases. This contribution gives an overview of the range of tools we are currently creating to communicate with them. T2 - EGU General Assembly 2020 CY - Online meeting DA - 04.05.2020 KW - Ontology KW - NDT KW - Concrete KW - Onotology KW - Semantic Data Management KW - Reproducible Science PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-518076 DO - https://doi.org/10.5194/egusphere-egu2020-19332 AN - OPUS4-51807 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Daten verständlich machen mit einem Semantic Web basierten Ansatz für die ZfP im Bauwesen N2 - Im Bereich der Zerstörungsfreien Prüfung (ZfP) im Bauwesen werden eine Vielzahl von Messdaten erfasst. Obwohl Sie als Grundlage für wissenschaftliche Analysen dienen, gibt es noch keine einheitliche Repräsentation der Daten. Eine Analyse verschiedener verteilter Datensätze über unterschiedliche Prüfobjekte hinweg ist daher kaum möglich. Wir stellen einen Ansatz für ein integriertes Datenmanagement verteilter Datensätze auf Basis von Semantic-Web Technologien vor. Der Ansatz basiert im Kern auf einem mathematischen Modell – der sogenannten Ontologie – welches das Wissen unserer Domäne ZfPBau repräsentiert. Die von uns entwickelte ZfPBau Ontologie wird mit Datenquellen verknüpft und beschreibt so die semantische Bedeutung der Daten. Darüber hinaus fungiert die Ontologie als zentrales Konzept für den Datenbankzugriff. Domänen-fremde Datenquellen können durch die Verknüpfung mit der ZfPBau Ontologie einfach integriert werden und stehen zur generischen Nutzung im Sinne der Digitalisierung direkt zur Verfügung. Basierend auf einer umfangreichen Literaturrecherche, skizzieren wir die Möglichkeiten die sich daraus für die ZfP im Bauwesen ergeben, wie zum Beispiel Messdaten computergestützt zu sortieren, zu analysieren, Zusammenhänge zu erkennen und zu erklären. Der erwartete Nutzen dieses Ansatzes der Wissensrepräsentation und des Datenzugriffs für die ZfP-Community ist eine Erweiterung des Wissens durch Datenaustausch in der Forschung (Interoperabilität), die wissenschaftliche Verwertung großer existierender Datenquellen mit datenbasierten Verfahren (wie Bilderkennung, Messunsicherheitsberechnungen, Faktoranaylsen, Materialcharackterisierung) und letztlich ein vereinfachter Transfer von ZFP-Daten in Ingenieurmodelle und somit in die Baupraxis. Ontologien sind bereits Kern vielzähliger intelligenter Systeme wie Building-Information-Modeling oder Forschungsdatenbanken. Der Beitrag gibt einen Überblick über die Werkzeuge die wir derzeit für die Kommunikation mit ihnen schaffen. T2 - Seminar ZfP 4.0 Die ZfP im Zeichen der Digitalisierung CY - Frankfurt am Main, Germany DA - 08.10.2020 KW - Ontologien KW - Semantisches Datenmanagement KW - Reproduzierbare Wissenschaft PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-518092 AN - OPUS4-51809 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - ZfP 4.0: Neue Herausforderungen für die Mensch-Maschine-Interaktion N2 - Im Zeitalter von Industrie 4.0 muss die zerstörungsfreie Prüfung (ZfP) mit den Anforderungen Schritt halten. Die erfolgreiche Umsetzung von Digitalisierung, Automatisierung, komplexer Vernetzung, künstlicher Intelligenz, Assistenzsystemen, intelligenten Sensortechnologien usw. hängt stark mit einer erfolgreichen und optimalen Mensch-Maschine-Interaktion (MMI) zusammen. In der ZfP 4.0 wird sich die Rolle des Prüfers zum flexiblen Problemlöser und Entscheider verändern. Dieser Wandel wird andere Anforderungen an die Prüfer stellen und eine andere Organisation der Prüfung, Ausbildung etc. erfordern. Der Mensch wird also weiterhin im Mittelpunkt der ZfP stehen. Zu den Herausforderungen, die dieser Wandel mit sich bringen wird, gehören das Vertrauen in automatisierte Systeme und die Akzeptanz neuer Technologien, für die Wege gefunden werden müssen, um sie zu bewältigen. T2 - DGZfP AK Zwickau-Chemnitz CY - Zwickau, Germany DA - 28.01.2020 KW - Mensch-Maschine-Interaktion KW - Zerstörungsfreie Prüfung (ZfP) KW - Industrie 4.0 KW - ZfP 4.0 PY - 2020 AN - OPUS4-51918 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - Reliability in NDT and the influence of human factors N2 - This presentation offers a holistic view on the assessment of reliability of NDT including the intrinsic reliability (typically expressed in terms of probability of detection (POD) curves), application, human and organisational factors. In addition to POD, advanced methods such as multiparameter POD, volume POD and POD for combined data are presented. Human and organisational factors in NDT require a systematic approach, i.e. it is not just the individual that determines how the inspections are carried out but also the interactions of individuals with the technology, team, organisation and the extra-organisational environment. Lessons learned from the literature as well as from own studies are presented. T2 - DFG SHM Netzwerk CY - Berlin, Germany DA - 27.01.2020 KW - Human Factors KW - Non-destructive testing (NDT) KW - Reliability PY - 2020 AN - OPUS4-51919 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Explore and Exploit - Strategische Erweiterung der fraktographischen Datenbank mit Machine Learning N2 - In diesem Vortrag stellen wir den aktuellen Stand zu einer Masterarbeit zusammen die sich mit dem Thema beschäftigt wie die Generalisierbarkeit von Datenmodellen auf Basis kleiner Datensätze erhöht werden kann. Wir stellen vor, wie die Datenbasis eines fraktogafischen Bildklassifizierers mit einem statistischen Model strategische erweitert, bzw. an eine Anwendung angepasst werden kann. T2 - AG Fraktographie im DVM/DGM Gemeinschaftsausschuss „Rasterelektronenmikroskopie in der Materialprüfung“ CY - Online meeting DA - 20.11.2020 KW - Bild Klassifizierung KW - Small Data KW - Unsicherheitsberechnung KW - Erklärbare KI PY - 2020 AN - OPUS4-51810 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Prospects and challenges of data-driven NDT - current work in junior research group 8.K N2 - We have arrived in the data age. But why is it so difficult for the NDT community to achieve real breakthroughs with data-driven science? In this seminar, we will take a brief look at the evolution of mainstream data science to understand why the most exciting times are perhaps just ahead. We will give an overview of our activities in the junior research group 8.K which are aimed at enabling the next generation of data science methods in NDT. The seminar addresses the two main work fields of our group: semantic data management and the handling of limited data resources. The first field addresses the problem that a uniform representation of our data is not yet available. However, knowledge creation in data science - whose main contribution lies in the analysis of distributed resources - requires common data access based on a collective understanding. To achieve this, we present an ontology-based approach. Ontologies are already the core of many intelligent systems such as building information models or research databases. We summarize some of the basic principles of this technology and describe our approach to create an NDT ontology. The second field ties in with the first and addresses the application of data-based methods in engineering practice. Especially in the field of non-destructive testing many successful applications have been published. In most cases, however, the creation of referenced data is extremely expensive and therefore much sparser than in other research areas. As a result, the available data may cover only one scenario, so that common benchmarks often do not reflect the actual performance of the model in practical applications. Estimates that quantify the transferability from one scenario to another are not only necessary to overcome this challenge - they also prove to be a powerful tool for the strategic expansion of what we consider knowledge. T2 - Abteilungsseminar der Abteilung 8 CY - Online meeting DA - 18.11.2020 KW - Machine Learning KW - Small Data KW - Semantic Web KW - Materials Discovery KW - Explainable AI PY - 2020 AN - OPUS4-51811 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Artificial intelligence in NDT (AI NDT) a networking workshop N2 - Data-driven research is considered the new paradigm in science. In this field, data is the new resource from which knowledge is extracted that is too complex for traditional methods. Several factors such as national funding and advances in information technology, are driving the development. In particular, the creation of databases and the analysis of data with artifical intelligence are playing an important role in establishing the new paradigm. However, there are numerous challenges that must be overcome to realize the full potential of data-driven methods. This talk sets the stage for the upcoming workshop by reviewing some of the historical developments and the current state of data-driven science in NDT and materials science. T2 - Workshop on Artificial Intelligence in NDT (AI-NDT) CY - Online meeting DA - 30.10.2020 KW - Data Science KW - Materials Informatics KW - NDT PY - 2020 AN - OPUS4-51812 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Trends in Materials Informatics N2 - Many PhD students are interested in applying machine learning, AI, data science, etc., and there are many good reasons for this. However, there is a disconnect between mainstream data science and materials science, for example, when it comes to the sheer size of the data. This talk will highlight some of the unique challenges in materials informatics and present some interesting approaches to overcome them. Although the field is large, this talk will focus on cases that have some practical relevance to PhD students at BAM. T2 - PhD Day at BAM 2020 CY - Online meeting DA - 15.09.2020 KW - Materials Informatics KW - Small Data PY - 2020 AN - OPUS4-51814 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Waske, Anja T1 - Energy Harvesting Using Thermomagnetic Generators with Magnetocaloric Materials N2 - To date, there are only very few technologies available for the conversion of low temperature waste heat to electricity. More than a century ago, thermomagnetic generators were proposed, which are based on a change of magnetization with temperature, switching a magnetic flux, which according to Faraday’s law induces a voltage. In this talk, we first describe the principle of thermomagnetic generators. Then we focus on the impact of topology of the magnetic circuit within thermomagnetic generators. We demonstrate that the key operational parameters strongly depend on the genus, i.e. the number of holes within the magnetic circuit. A pretzel-like topology of the magnetic circuit with genus =3 improves the performance of thermomagnetic generators by orders of magnitude. We will show that this technique is on its way to becoming competitive with thermoelectrics for energy harvesting near room temperature. T2 - TMS Annual Meeting CY - San Diego, CA, USA DA - 23.02.2020 KW - Materials science KW - Energy harvesting PY - 2020 AN - OPUS4-51903 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Waske, Anja T1 - Materials for Thermomagnetic Harvesting of Low Temperature Waste Heat: N2 - Thermomagnetic materials are a new type of magnetic energy materials, which enable the conversion of low temperature waste heat to electricity by three routes: Thermomagnetic motors, generators and microsystems. Taking our recent work on thermomagnetic generators as a starting point, in this talk we analyse the material requirements for a more energy and economic efficient conversion. We will describe the influence of magnetisation change and heat capacity on thermodynamic efficiency, as well as the consequences of thermal conductivity on power density. Our analysis will allow selecting the best thermomagnetic materials in Ashby plots and illustrate the substantial different properties compared to magnetocaloric materials. Supported by DFG, project FA 453/14) T2 - TMS Annual Meeting CY - San Diego, CA, USA DA - 23.02.2020 KW - Materials science KW - Energy harvesting PY - 2020 AN - OPUS4-51904 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Waske, Anja T1 - Mikro-Computertomographie für die Werkstoffforschung N2 - Preisträgervortrag Georg-Sachs-Preis der DGM Röntgencomputertomographie (CT) ist heute ein Standardwerkzeug in der Materialcharakterisierung. Im Vortrag zeigen wir ihre Anwendung für die Untersuchung magnetischer Funktionsmaterialien, additiv gefertigter Bauteile und deren Feedstockpulver und stellen erste CT-Ergebnisse biogener Feedstockpulver vor. T2 - DGM-Tag 2020 CY - Online meeting DA - 21.09.2020 KW - X-ray imaging KW - Non-destructuve testing PY - 2020 AN - OPUS4-51906 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schumacher, David T1 - From W. C. Röntgen to modern Tomography N2 - A not complete review of X-Ray related milestones from 1895 to the 21st century. T2 - ITN GW4SHM, First Training Event CY - Online Meeting DA - 23.11.2020 KW - X-Ray KW - Computed Tomography KW - Laminography KW - Digital Detector Arrays KW - Wilhelm Conrad Röntgen PY - 2020 AN - OPUS4-51881 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kruschwitz, Sabine T1 - Evaluation of Advanced NDT-Methods for Measurement of Fibre Orientation in Concrete N2 - Integration of fibre reinforcement in high-performance cementitious materials has become widely applied in many fields of construction. One of the most investigated advantages of steel fibre reinforced concrete (FRC) is the deceleration of crack growth and hence it’s improved sustainability due to e.g. decrease of permeability of concrete by aggressive substances. Additional benefits are associated with the structural properties of FRC, where fibres can significantly increase the ductility and the tensile strength of concrete. In some applications, such as tunnel linings or industrial slabs, it is even possible to entirely replace the conventional reinforcement, leading to significant logistical and environmental benefits. Fibre reinforcement can, however, have critical disadvantages and even hinder the performance of concrete, since it can induce an anisotropic material behaviour of the mixture if the fibres are not appropriately oriented. For a safe use of FRC in the future, reliable non-destructive methods need to be identified to assess the fibres’ orientation in hardened concrete. In this study, ultrasonic material testing, electrical impedance testing, and X-ray computer tomography have been investigated for this purpose using specially produced samples with biased or random fibre orientations. This paper demonstrates the capabilities of each of these NDT techniques for fibre orientation measurements and draws conclusions based on these results about the most promising areas for future research and development using these techniques. T2 - fib2020 Shanghai CY - Online meeting DA - 22.11.2020 KW - Ultrasonic testing KW - Steel fibre reinforced concrete (FRC) KW - Fibre orientation KW - X-ray computed tomography (CT) KW - Electrical impedance PY - 2020 AN - OPUS4-51651 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - Psychology at BAM: Is it science and how can we benefit from it? N2 - The aim of this presentation is twofold: first, to present the field of psychology including its research methods and, second, to show on an example how psychology can be used in material research. The example is of the study of human factors in non-destructive testing (NDT), in which the author has more than 10 years of experience. The conclusion is that psychological methods can be used to identify human-related problems during different tasks and to generate mitigation strategies that can be used to decrease human error and enhance safety. T2 - Abteilungsseminar der Abteilung 8 CY - Berlin, Germany DA - 20.04.2020 KW - Psychology KW - Human factors KW - Non-destructive testing (NDT) KW - Safety PY - 2020 AN - OPUS4-51920 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - Human machine interaction in the era of industry 4.0 N2 - The fourth industrial revolution (also known as “Industry 4.0”) promises to relieve people from manual and physical work by developing cyber-physical systems and smart automation and thereby achieving a more efficient, reliable and safe performance. This will change people’s work from being operators of the system into becoming strategical decision makers and flexible problem solvers. This shift will require a new division of work between people and technical systems, a new division of responsibilities and new ways of interacting with technology, which in turn will pose new demands on people. People will require different physical and cognitive capabilities, different competencies and new strategies to cope with the upcoming challenges. The focus of Industry 4.0 is therefore on designing systems with human in the centre: systems that will extend people’s capabilities, that will allow collaborative work and take advantage of performances in which either people or technology excel. This presentation will focus on the benefits of consideration of human-machine interaction in the context of industry 4.0. T2 - Les assises de L’Industrie 4.0 CY - INSA Centre Val de Loire, Campus de Blois, France DA - 29.09.2020 KW - Human machine interaction KW - Industry 4.0 KW - NDT 4.0 KW - Safety KW - non-destructive testing (NDT) PY - 2020 AN - OPUS4-51921 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - The Past and the Future of Human Factors: The “Uncontrollable” Aspect of NDT Reliability? N2 - That human factors (HF) affect the reliability of NDT is not novelty. Still, when it comes to reliability assessments, the role of people is often neglected. Reliability is typically expressed in terms of POD curves, and the effects of human and organisational factors on the inspection are typically tackled by the regulations, procedures and by the qualification and training of the inspection personnel. However, studies have shown that even the most experienced personnel can make mistakes and that the reliability in the field is never as high as the reliability measured in the POD experiments. Generally, HF are considered too unpredictable and too uncontrollable to model. If that is the fact, then what can we do? The engineering perspective to this problem has often been to find ways to automate inspections and, recently, to make use of artificial intelligence tools to decrease the direct effect of people on the inspection results and improve the overall efficiency and reliability. However, despite automation and AI, people remain the key players, though their tasks change. The contemporary approach to HF is not to engineer them out of the system but to design human-machine systems that make the best use of both. In this talk, ways of tackling HF in the design of systems and processes will be presented. T2 - Reliability of NDT webinar, The Scottish Branch of the British Institute of NDT CY - Online meeting DA - 29.01.2021 KW - Non-Destructive Testing KW - NDT KW - Human Factors KW - Reliability PY - 2021 UR - www.bindt.org/admin/Downloads/2021-01%20BINDT_Bertovic_Human%20factors_new.pdf AN - OPUS4-53544 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - NDE 4.0: Redefining Traditional Inspector Roles N2 - The successful shift to NDE 4.0 will not only require developing and embracing new technologies associated with the fourth industrial revolution or becoming an integral part of the overall Industry 4.0, but also developing and adopting new ways of working. It is undoubtful that people will remain in charge of the inspections. However, it is arguable if the current “procedure-following” “level I-III” paradigm can withstand the changes that come along NDE 4.0. With the increased autonomy and interconnectedness expected with NDT 4.0, the majority of traditional NDE tasks will no longer be needed. Instead, different skills, such as that of programming and adapting systems, as well as problem solving, will become vital for the inspections. Therefore, we suggest that a new paradigm is needed—one in which inspector roles and, thus, also the requirements will have to be reinvented. We expect the inspectors to be relieved from the tedious and error prone aspects of the current system and to take responsibility for increasingly complex automated systems and work in closer collaboration with other experts. Thus, we propose that the traditional inspector roles will be transformed into that of the system developer, caretaker and problem solver, each requiring a specific set of skills and assuming different responsibilities. In this talk, we will present the new roles and discuss the challenges that may arise with them. T2 - HOIS Digitalisation Forum (HDF) virtual seminar CY - Online meeting DA - 10.08.2021 KW - Non-Destructive Evaluation KW - NDE 4.0 KW - Human-Machine Interaction KW - Industry 4.0 KW - Inspection Personnel KW - Human-Centered Approach KW - Human Factors KW - Acceptance PY - 2021 AN - OPUS4-53549 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - NDE 4.0: Redefining Traditional Inspector Roles N2 - The successful shift to NDE 4.0 will not only require developing and embracing new technologies associated with the fourth industrial revolution or becoming an integral part of the overall Industry 4.0, but also developing and adopting new ways of working. It is undoubtful that people will remain in charge of the inspections. However, it is arguable if the current “procedure-following” “level I-III” paradigm can withstand the changes that come along NDE 4.0. With the increased autonomy and interconnectedness expected with NDT 4.0, the majority of traditional NDE tasks will no longer be needed. Instead, different skills, such as that of programming and adapting systems, as well as problem solving, will become vital for the inspections. Therefore, we suggest that a new paradigm is needed—one in which inspector roles and, thus, also the requirements will have to be reinvented. We expect the inspectors to be relieved from the tedious and error prone aspects of the current system and to take responsibility for increasingly complex automated systems and work in closer collaboration with other experts. Thus, we propose that the traditional inspector roles will be transformed into that of the system developer, caretaker and problem solver, each requiring a specific set of skills and assuming different responsibilities. In this talk, we will present the new roles and discuss the challenges that may arise with them. T2 - International Virtual Conference on NDE 4.0, DGZfP CY - Online meeting DA - 14.04.2021 KW - Non-Destructive Evaluation KW - NDE 4.0 KW - Human-Machine Interaction KW - Industry 4.0 KW - Inspection Personnel KW - Human-Centered Approach KW - Human Factors KW - Acceptance PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-535524 UR - www.ndt.net/search/docs.php3?id=26328 AN - OPUS4-53552 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Quantifizierung der Unsicherheit für einen dünnbesetzten maschinellen Lerndatensatz (ML) in der zerstörungsfreien Prüfung im Bauwesen (ZfPBau) N2 - Das maschinelle Lernen (ML) wurde erfolgreich zur Lösung vieler Aufgaben in der zerstörungsfreien Prüfung im Bauwesen (ZfPBau) eingesetzt. Allerdings ist die Erstellung von Referenzdaten in den meisten Fällen extrem teuer und daher viel knapper als in anderen Forschungsbereichen. Auch decken die verfügbaren Daten mitunter nur ein einziges Szenario ab, so dass die Leistungsindikatoren oft nicht die tatsächliche Leistung des ML-Modells in der praktischen Anwendung widerspiegeln. Schätzungen, die die Übertragbarkeit von einem Szenario auf ein anderes quantifizieren, sind erforderlich, um dieser Herausforderung gerecht zu werden und den Weg für Anwendungen in der Praxis zu ebnen. In diesem Beitrag stellen wir Werkzeuge zur Beschreibung der Unsicherheit von ML in neuen ZfPBau-Szenarien vor. Zu diesem Zweck haben wir einen bestehenden Trainingsdatensatz zur Klassifizierung von Korrosionsschäden der Bewehrung in Beton um eine neue Fallstudie erweitert. Die Messungen wurden an großflächigen Betonproben mit eingebauter chloridinduzierter Korrosion des Bewehrungsstahls durchgeführt. Das Experiment simulierte den gesamten Lebenszyklus von chloridinduzierten Sichtbetonbauteilen im Labor. Unser Datensatz umfasst Potenzialfeld- und Radarmessungen. Die einzigartige Fähigkeit, die Schädigung zu überwachen und eine gezielte Korrosion einzuleiten, ermöglichte es, die Daten zu labeln - was für die Konstruktion von ML-Modellen entscheidend ist. Um die Übertragbarkeit zu untersuchen, erweitern wir unser Modell um Metadaten - wie etwa Konstruktionsmerkmale des Prüfkörpers und Umweltbedingungen. Dies erlaubt es, die Veränderung dieser Merkmale in neuen Szenarien mit statistischen Methoden als Unsicherheiten auszudrücken. Wir vergleichen verschiedene auf Stichproben und statistischer Verteilung basierende Ansätze und zeigen, wie diese Methoden eingesetzt werden können, um Wissenslücken von ML-Modellen in der ZfP zu schließen T2 - DGZfP Jahrestagung 2021 CY - Online meeting DA - 10.05.2021 KW - Machine Learning KW - Zerstörungsfreie Prüfung KW - Datenfusion KW - Multi Sensor KW - Unsicherheitsquantifizierung PY - 2021 AN - OPUS4-54124 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Uncertainty quantification for a sparse machine learning (ML) data set in non-destructive testing in civil engineering (NDT-CE) N2 - ML has been successfully applied to solve many NDT-CE tasks. This is usually demonstrated with performance metrics that evaluate the model as a whole based on a given set of data. However, since in most cases the creation of reference data is extremely expensive, the data used is generally much sparser than in other areas, such as e-commerce. As a result, performance indicators often do not reflect the practical applicability of the ML model. Estimates that quantify transferability from one case to another are necessary to meet this challenge and pave the way for real world applications. In this contribution we invetigate the uncertainty of ML in new NDT-CE scenarios. For this purpose, we have extended an existing training data set for the classification of corrosion damage by a new case study. Our data set includes half-cell potential mapping and ground-penetrating radar measurements. The measurements were performed on large-area concrete samples with built-in chloride-induced corrosion of reinforcement. The experiment simulated the entire life cycle of chloride induced exposed concrete components in the laboratory. The unique ability to monitor deterioration and initiate targeted corrosion initiation allowed the data to be labelled - which is crucial to ML. To investigate transferability, we extend our data by including new design features of the test specimen and environmental conditions. This allows to express the change of these features in new scenarios as uncertainties using statistical methods. We compare different sampling and statistical distribution-based approaches and show how these methods can be used to close knowledge gaps of ML models in NDT. T2 - EGU General Assembly 2021 CY - Online meeting DA - 19.04.2021 KW - Data fusion KW - Non-destructive testing PY - 2021 DO - https://doi.org/10.5194/egusphere-egu21-8798 AN - OPUS4-54125 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Shaheen, Sabahat T1 - Earthquake Monitoring N2 - A brief introduction of my previous research experince involving design of Photonic Crystal Fiber followed by introduction to my current PhD project at BAM involving earthquake monitoring. First results of my original setup for measuring geometric Phase are included. T2 - Intro to PhD project on Earthquake Monitoring CY - Berlin, Germany DA - 01.04.2022 KW - Earthquake Monitoring KW - Geometric Phase PY - 2022 AN - OPUS4-55707 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Klewe, Tim T1 - Laser-based sorting of construction and demolition waste for the circular economy N2 - Closed material cycles and unmixed material fractions are required to achieve high recovery and recycling rates in the building industry. The growing diversity of construction and demolition waste is leading to increasing difficulties in separating the individual materials. Manual sorting involves many risks and dangers for the executing staff and is merely based on obvious, visually detectable differences for separation. An automated, sensor-based sorting of these building materials could complement or replace this practice to improve processing speed, recycling rates, sorting quality, and prevailing health conditions. A joint project of partners from industry and research institutions approaches this task by investigating and testing the combination of laser-induced breakdown spectroscopy (LIBS) and visual (VIS)/ near-infrared (NIR) spectroscopy. Joint processing of information (data fusion) is expected to significantly improve the sorting quality of various materials like concrete, main masonry building materials, organic components, etc., and may enable the detection and separation of impurities such as SO3-containing building materials (gypsum, aerated concrete, etc.). Focusing on Berlin as an example, the entire value chain will be analyzed to minimize economic/technological barriers and obstacles at the cluster level and to sustainably increase recovery and recycling rates. First LIBS measurements show promising results in distinguishing various material types. A meaningful validation shall be achieved with further practical samples. Future works will investigate the combination of LIBS and VIS/NIR spectroscopy in a fully automated measurement setup with conveyor belt speeds of 3 m/s. T2 - 6th fib Congress 2022 CY - Oslo, Norway DA - 12.06.2022 KW - LIBS KW - Recycling KW - Construction and demolition waste KW - Sorting PY - 2022 AN - OPUS4-55120 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Klewe, Tim T1 - Sorting of construction and demolition waste by combining LIBS with NIR spectroscopy N2 - In a joint project of partners from industry and research, the automated recycling of construction and demolition waste (CDW) is investigated and tested by combing laser-induced breakdown spectroscopy (LIBS) and near-infrared (NIR) spectroscopy. Joint processing of information (data fusion) is expected to significantly improve the sorting quality of various materials like concrete, main masonry building materials, organic components, etc., and may enable the detection and separation of impurities such as SO3-cotaining building materials (gypsum, aerated concrete, etc.). The project focuses primarily on the Berlin site to analyze the entire value chain, minimize economic/technological barriers and obstacles at the cluster level, and sustainably increase recovery and recycling rates. First measurements with LIBS and NIR spectroscopy show promising results in distinguishing various material types and indicate the potential for a successful combination. In addition, X-ray fluorescence (XRF) spectroscopy is being performed to obtain more information about the quantitative elemental composition of the different building materials. Future work will apply the developed sorting methodology in a fully automated measurement setup with CDW on a conveyor belt. T2 - NDT-CE 2022 - The International Symposium on Nendestructive Testing in Civil Engineering CY - Zurich, Switzerland DA - 16.08.2022 KW - Material classification KW - Circular economy KW - LIBS KW - Recycling PY - 2022 AN - OPUS4-55554 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Tobias T1 - Laserbasierte Baustoffsortierung zur Aufbereitung von Bau und Abbruchabfällen für die Kreislaufwirtschaft (LIBS ConSort) N2 - Geschlossene Materialkreisläufe und sortenreine Materialfraktionen sind erforderlich, um hohe Verwertungs und Recyclingquoten in der Bauindustrie zu erreichen Beim Recycling von Bau und Abbruchabfällen wurden bisher bevorzugt einfache, aber bewährte Techniken eingesetzt, um große Mengen Bauschutt in kurzer Zeit zu verarbeiten Dies steht im Gegensatz zu den immer komplexer werdenden Verbundwerkstoffen in der Mineralbaustoffindustrie Die aktuell oft praktizierte händische Klaubung bürgt viele Risiken und Gefahren für das ausführende Personal und basiert lediglich auf offensichtlichen, visuell erkennbaren Unterschieden zur Trennung Eine automatisierte, sensorgestützte Sortierung dieser Baustoffe könnte diese Praxis ergänzen oder ersetzen, um die Verarbeitungsgeschwindigkeit, die Recyclingraten, die Sortierqualität und die vorherrschenden Gesundheitsbedingungen zu verbessern. T2 - ReMin Statuskonferenz 2023 CY - Clausthal Zellerfeld, Germany DA - 20.06.2023 KW - LIBS PY - 2023 AN - OPUS4-57752 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Tobias T1 - Laser Induced Breakdown Spectroscopy A Tool for Imaging the Chemical Composition of Concrete N2 - One of the most common causes of damage is the ingress of harmful ions into the concrete, which can lead to deterioration processes and affect structural performance. Therefore, the increasingly aging infrastructure is regularly inspected to assess durability. Regular chemical analysis can be useful to determine the extent and evolution of ion ingress and to intervene in a timely manner. This could prove more economical than extensive repairs for major damage, particularly for critical infrastructure. In addition to already established elemental analysis techniques in civil engineering such as potentiometric titration or X-ray fluorescence analysis, laser-induced breakdown spectroscopy (LIBS) can provide further important complementary information and benefits. The possibilities of LIBS are demonstrated using the example of a drill core taken from a parking garage. T2 - 6th International Conference on Concrete Repair, Rehabilitation and Retrofitting CY - Cape Town, South Africa DA - 03.10.2022 KW - LIBS KW - Concrete KW - Cement KW - Chlorine PY - 2022 AN - OPUS4-56061 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wilsch, Gerd T1 - Laser induced breakdown spectroscopy to investigate the chemical composition of concrete N2 - Laser-induced breakdown spectroscopy (LIBS) is a spectroscopic method for detecting the chemical composition of optically accessible surfaces. In principle, the measurement of all elements of the periodic table is possible. System calibrations allow the quantification of element concentrations. In combination with scanner systems, the two-dimensional element distribution can be determined. Even rough surfaces can be measured by online adjustment of the laser focus. To detect element ingress into the concrete, typically cores are taken, cut in half, and LIBS measurements are performed on the cross-section. The high spatial resolution as well as the simultaneous multi-element analysis enables a separate evaluation of the binder-matrix and aggregates. Therefore, the element concentrations can be determined directly related to the cement paste. LIBS measurements are applicable in the laboratory, on-site and also over a distance of several meters. Common applications include the investigation of material deterioration due to the ingress of harmful ions and their interaction in porous building materials. LIBS is able to provide precise input parameters for simulation and modelling of the remaining lifetime of a structure. Besides the identification of materials, also their composition can be determined on hardened concrete, such as the type of cement or type of aggregate. This also involves the identification of environmentally hazardous elements contained in concrete. Another possible application is the detection of the composition of material flows during dismantling. Non-contact NDT for “difficult to assess” structures as an example application through safety glass or in combination with robotics and automation are also possible. This work presents the state of the art concerning LIBS investigations on concrete by showing exemplary laboratory and on-site applications. T2 - NDE NucCon 2023 CY - Espoo, Finland DA - 25.01.2023 KW - LIBS KW - Concrete PY - 2023 AN - OPUS4-57323 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bintz, Thilo T1 - Investigation of Capillary Water Absorption of Clinker-Reduced Binders by NMR Relaxometry N2 - To evaluate the durability of new alternative cement compositions, it is important to examine the internal transport of moisture through these materials. For this purpose, mortars were prepared from different types of cement and capillary suction experiments were carried out. The moisture transport was studied with an NMR tomograph and compared with weight easurements. With the tomograph, the total moisture input could be determined, as well as the moisture content within the samples non-destructively and spatially resolved. This allows precise observation of the moisture fronts. The tomograph was also used to determine the capillary transport coefficient. T2 - ISEMA 2023 CY - Queensland, Australia DA - 25.09.2023 KW - NMR relaxometry KW - Capillary suction KW - Capillary transport coefficient PY - 2023 AN - OPUS4-59216 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Klewe, Tim T1 - LIBS ConSort: Development of a sensor-based sorting method for constuction and demolition waste N2 - Closed material cycles and unmixed material fractions are required to achieve high recovery and recycling rates in the building industry. In construction and demolition waste (CDW) recycling, the preference to date has been to apply simple but proven techniques to process large quantities of construction rubble in a short time. This is in contrast to the increasingly complex composite materials and structures in the mineral building materials industry. Manual sorting involves many risks and dangers for the executing staff and is merely based on obvious, visually detectable differences for separation. An automated, sensor-based sorting of these building materials could complement or replace this practice to improve processing speed, recycling rates, sorting quality, and prevailing health conditions. A joint project of partners from industry and research institutions approaches this task by investigating and testing the combination of laser-induced breakdown spectroscopy (LIBS) with near-infrared (NIR) spectroscopy and visual imaging. Joint processing of information (data fusion) is expected to significantly improve the sorting quality of various materials like concrete, main masonry building materials, organic components, etc., and may enable the detection and separation of impurities such as SO3-cotaining building materials (gypsum, aerated concrete, etc.) Focusing on Berlin as an example, the entire value chain will be analyzed to minimize economic / technological barriers and obstacles at the cluster level and to sustainably increase recovery and recycling rates. We present current advances and results about the test stand development combining LIBS with NIR spectroscopy and visual imaging. In the future, this laboratory prototype will serve as a fully automated measurement setup to allow real-time classification of CDW on a conveyor belt. T2 - 21. International Conference on Building Materials (Ibausil) CY - Weimar, Germany DA - 13.09.2023 KW - Material classification KW - Data fusion KW - Circular economy KW - LIBS KW - Recycling PY - 2023 AN - OPUS4-58495 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph A1 - Kruschwitz, Sabine T1 - Accelerating the search for sustainable concretes with AI N2 - With 8% of man-made CO2 emissions, cement production is an important driver of the climate crisis. By using alkali-activated binders, part of the energy-intensive clinker production process can be dispensed. However, as numerous raw materials are involved in the manufacturing process here, the complexity of the materials increases by orders of magnitude. Finding a properly balanced binder formulation is like looking for a needle in a haystack. We have shown for the first time that artificial intelligence (AI)-based optimization of alkali-activated binder formulations can significantly accelerate research. The "Sequential Learning App for Materials Discovery" (SLAMD) aims to accelerate practice transfer. With SLAMD, materials scientists have low-threshold access to AI through interactive and intuitive user interfaces. The value added by AI can be determined directly. For example, the CO2 emissions saved per ton of cement can be determined for each development cycle: the more efficient the AI optimization, the greater the savings. Our material database already includes more than 120,000 data points of alternative binders and is constantly being expanded with new parameters. We are currently driving the enrichment of the data with a life cycle analysis of the building materials. Based on a case study we show how intuitive access to AI can drive the adoption of techniques that make a real contribution to the development of resource-efficient and sustainable building materials of the future and make it easy to identify when classical experiments are more efficient. T2 - fib International Congress CY - Oslo, Norway DA - 12.06.2022 KW - Machine Learning KW - Materials Design KW - Sequential Learning KW - Materials Discovery KW - Concrete PY - 2022 AN - OPUS4-56635 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Christoph T1 - Discovering climate-friendly building materials with AI N2 - High greenhouse gas emissions from the production of building materials are a major contributor to the current climate crisis. However, developing alternative building materials is complex. Traditional laboratory methods are reaching their limits. Artificial intelligence, on the other hand, can give research a new dynamic. Novel materials are usually developed manually in the laboratory rather than on a computer. This makes the processes time-consuming, difficult and expensive. With the app SLAMD (Sequential Learning App for Materials Discovery), materials researchers can explore the potential of artificial intelligence to speed up materials research and easily apply AI in the lab. The app was developed by our team at the Federal Institute for Materials Research and Testing (BAM) led by Prof. Sabine Kruschwitz together with a team in the Department of Building Materials and Construction Chemistry at TU Berlin led by Prof. Dietmar Stephan. It uses material composition and characterization data to predict ideal material candidates. It can be used to optimize many material properties simultaneously and even incorporates database information such as carbon footprint, material cost or resource availability. Unlike the usual data-intensive AI methods, SLAMD optimally integrates existing knowledge and human feedback, and provides numerous decision support tools to precisely navigate complex scientific knowledge processes towards success. In this talk, we will present some case studies where we were able to find suitable advanced materials in a few months instead of several years. We will talk about the challenges we overcame and the future potential we see for this approach to developing the green materials of the future. T2 - Chemometrics meets Artificial Intelligence CY - Berlin, Germany DA - 01.04.2022 KW - Machine Learning KW - Materials Informatics KW - Sequential Learning KW - Alkali activated concrete PY - 2022 AN - OPUS4-56638 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wilsch, Gerd T1 - Laser Induced Breakdown Spectroscopy – A Tool for the Chemical Investigation of Concrete N2 - LIBS is a complementary method to XRF and can detect all elements without the need for vacuum conditions. Automated systems are already commercially available capable of scanning surfaces with a resolution of up to 0.1 mm within a few minutes. In addition to possible applications in R&D, LIBS is also used for practical applications in building materials laboratories and even on-site. In view of ageing infrastructure facilities, a reliable assessment of the condition of concrete structures is of increasing interest. For concrete structures, the ingress of potential harmful ions is affecting the serviceability and eventually structural performance. Pitting corrosion induced by penetrating chlorides is the dominant deterioration mechanism. Condition assessment based on frequently performed chloride profiling can be useful to identify the extent and evolution of chloride ingress. This could prove to be more economical than extensive repairs, especially for important infrastructure facilities. Currently the most common procedure for determining the chloride content is wet chemical analysis with standard resolution of 10 mm. The heterogeneity is not considered. LIBS is an economical alternative for determining the chloride content at depth intervals of 1 mm or less. It provides 2D distributions of multiple elements and can locate spots with higher concentrations. The results are directly correlated to the mass of binder and can also be performed on-site with a mobile LIBS-System. The application of a LIBS-system is presented. Calibration is required for quantitative analysis. Concrete cores were drilled, sliced and analyzed to determine the 2D-distribution of harmful elements. By comparing the chloride ingress and the carbonation, the interaction of both processes can be visualized in a measurement that takes less than 10 minutes for a 50 mm x 100 mm drill core. A leaflet on the use of LIBS for the chloride ingress assessment has been completed. T2 - NDT-CE 2022 - The International Symposium on Nendestructive Testing in Civil Engineering CY - Zurich, Switzerland DA - 16.08.2022 KW - Chlorides KW - Corrosion KW - Imaging KW - Service life KW - Damage assessment KW - LIBS PY - 2022 AN - OPUS4-56540 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Ewert, U. A1 - Jaenisch, Gerd-Rüdiger A1 - Schumacher, David A1 - Bircher, B. A1 - Meli, F. A1 - Deresch, A. T1 - EMPIR-Projekt NanoXSpot: Neue Normentwürfe für die Brennfleckmessung an Röntgenröhren im Makro-, Mikro- und Nanometerbereich für Hersteller und Anwender N2 - Im Rahmen des EMPIR-Projektes NanoXSpot (Nanometre X-ray Focal Spot Measurement) werden rückführbare Messverfahren zur Bestimmung der Brennfleckgröße und -form von Röntgenröhren im Bereich von 100 nm bis 10 mm entwickelt, welche die Grundlage für die Erarbeitung mehrerer Normentwürfe bilden. Diese werden 2022 parallel bei ISO TC 135 (NDT) SC 5 (RT) und CEN TC 138 (NDT) WG 1 (RT) eingereicht. Entsprechende Normen werden auch bei ASTM vorgestellt. Die Norm EN 12543-4 (Kantenmethode) wird umgeschrieben für die Messung von Brennflecken von 1 μm – 10 mm durch Auswertung von Loch- oder Scheibenaufnahmen. Der im Rahmen des NanoXSpot-Projektes neu entwickelte NxS-Testkörper ist geeignet für den Bereich von 1 μm – 100 μm. Von 100 μm bis 10 mm können ASTM-Lochtestkörper verwendet werden, die bereits bei ASTM E 1165 beschrieben sind. Neu ist die Anwendung eines CT-Algorithmus zur Rekonstruktion der Brennflecke, um Lochblenden-basierte Brennfleckkameras, insbesondere im Bereich unter 100 μm, zu ersetzen. Ein neuer Normteil, EN 12543-6, wurde entworfen, um die Brennfleckmessung im Bereich 100 nm – 20 μm mit hoher Genauigkeit zu ermöglichen. Verschiedene Strichgruppen-Testkörper kommen hier zum Einsatz. Das sind die JIMAPrüfkörper, ein neuer Hochkontrast-Strichgruppentestkörper von YXLON (HiCo) und der neu entwickelte Testkörper NxS. Diese werden vorgestellt. Die Messprozedur für Röhrenhersteller wird auf einer numerischen Fit-Prozedur basieren, die über einen Ringversuch im Projekt validiert wurde. Beide Normen benötigen numerische Auswertealgorithmen zur korrekten Anwendung, die als kommerzielle Software und Public Domain – Software verfügbar gemacht werden. Es wird über die zu erwartenden Standardprozeduren und die erforderliche Hardware zur Anwendung der Normen informiert. T2 - DGZfP-Jahrestagung CY - Kassel, Germany DA - 23.05.2022 KW - Röntgenröhre KW - Brennfleckmessung KW - Normung PY - 2022 AN - OPUS4-56100 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kruschwitz, Sabine A1 - Völker, Christoph A1 - Zia, Ghezal Ahmad Jan A1 - Moreno Torres, Benjami A1 - Hartmann, Timo T1 - Reincarnate: Shaping a sustainable future in construction through digital innovation N2 - We introduce the REINCARNATE project, funded by the European Union's Horizon Europe program, to boost circularity by merging digital innovations with practical applications and a focus on material reuse. The heart of REINCARNATE is the Circular Potential Information Model (CP-IM), a digital platform designed to assess and enhance the recyclability of construction materials, construction products, and buildings. The CP-IM integrates advanced technologies such as digital twins, AI, and robotics to revolutionize the handling of construction waste, turning it into valuable resources and cutting the environmental footprint of the sector. Among its features are digital tracing, material durability predictions, and CO2 reduction materials design. These are showcased in eleven European demonstration projects, highlighting the practical benefits of these technologies in reducing construction waste and CO2 emissions by up to 80% and 70% respectively. REINCARNATE aims to marry innovation with real-world application, providing the construction industry with strategies for sustainable and circular practices. T2 - Rilem Spring Convention CY - Milan, Italy DA - 10.04.2024 KW - Construction sustainability KW - European project KW - Recycled materials KW - Life cycle KW - Digital construction PY - 2024 AN - OPUS4-60625 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Völker, Tobias T1 - Laser-Induced Breakdown Spectroscopy for Concrete Analysis: Applications and Practical Benefits N2 - Reinforced concrete structures are exposed not only to mechanical loads but also to chemical degradation, which can significantly impact their longevity and performance. Effective assessment and maintenance require a detailed understanding of the ingress of harmful species, such as chlorides or sulfates. Traditional analysis methods, like wet chemical analysis of drill dust or ground core samples, often require homogenization leading to the loss of crucial spatial information in sub-millimeter regions such as localized high concentrations of elements, e.g. in cracks. Laser-induced breakdown spectroscopy (LIBS) offers a cutting-edge solution, providing rapid, multi-element analysis with high spatial resolution from micrometer to millimeter scales. LIBS is capable of detecting both light and heavy elements, making it a powerful tool for detailed concrete analysis. Despite its clear advantages, LIBS is not commonly used in civil engineering. This presentation will showcase practical examples demonstrating the effectiveness and advantages of LIBS in concrete analysis, highlighting real-world applications provided by members of the “LIBS” subcommittee of the technical committee “Civil-Engineering” of the German Society for Non-Destructive Testing (DGZfP). Key examples will be discussed, including measurements from car parks or bridges, alongside an introduction to the newly released DGZfP leaflet B14 providing guidelines for the quantitative determination of chlorine content in concrete by LIBS. Furthermore, prospective applications of LIBS including material identification and classification for concrete recycling, and other emerging uses in civil engineering, will also be presented, showcasing the versatility and future potential of this technology. T2 - Conference on durability of building materials and systems in the transportation infrastructure CY - Mendrisio, Switzerland DA - 22.03.2025 KW - LIBS KW - Spectroscopy KW - Concrete KW - Structural Diagnostics PY - 2025 AN - OPUS4-62822 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Dalichow, Dirk T1 - Laser Induced Breakdown Spectroscopy (LIBS) for the chemical investigation of concrete- Status of practical application and regulations in Germany N2 - The assessment and maintenance of reinforced concrete structures depends largely on knowledge of the chloride content and chloride ingress. Common methods are the wet chemical analysis of drill dust or powder from ground drill core segments. However, due to the homogenization process, this approach often fails to detect locally elevated chloride levels. A state-of-the-art alternative method is laser-induced breakdown spectroscopy (LIBS), which offers rapid analysis and the possibility of detecting several chemical elements simultaneously. This method is particularly characterized by its ability to measure light elements such as hydrogen, carbon or sodium. The spatial resolution of LIBS is usually 0.25 mm but can be increased to 0.1 mm or less if required. BARG, is the first commercial building materials laboratory in Germany to use LIBS in practice. The current LIBS setup enables rapid, spatial quantification of the chlorine content and at the same time the creation of element maps that visually represent the distribution of essential elements in the concrete. This method can be used to localize areas of elevated chlorine content, particularly in cracks or near reinforcing bars. With the ability to analyze several elements simultaneously, LIBS can determine measurement points associated with the cement phase and, taking into account the water content, relate the measured contents directly to the cement mass. The detailed ingress profiles determined by LIBS provide essential data for the estimation of accurate chlorine diffusion coefficients, which are crucial for probabilistic lifetime predictions. The estimation of the carbon distribution enables the localization of carbonated regions and their effect on the chloride distribution. The possibility of quantitatively determining the sulfur distribution also indicates areas that are affected by a possible sulfate attack. The presentation uses practical examples to demonstrate the possibilities and advantages of the LIBS method. In addition, the newly published leaflet B14 of the German Society for Non-Destructive Testing (DGZfP) will be presented, which describes the use of LIBS for the quantitative determination of chloride content in concrete. T2 - ICCRRR 2024 CY - Cape Town, South Africa DA - 04.11.2024 KW - Concrete KW - Chloride KW - Corrosion KW - Repair KW - Maintenance PY - 2024 AN - OPUS4-62481 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Munsch, Sarah Mandy T1 - Ermittlung des Flüssigwasseranteils an voll- und teilgesättigten Sandsteinen mittels 1H-NMR und Hygrometrie N2 - Da Feuchte insbesondere in Form von Flüssigwasser ein hohes Schadenspotential für Baustoffe und Konstruktionen darstellt, finden zerstörungsfreie Verfahren wie die Kernspinresonanz (NMR) zunehmend Einsatz im Bauwesen. Auch wenn zur qualitativen Lokalisierung möglicher Schad- und Risikostellen bereits zahlreiche zerstörungsfreie Verfahren in der Praxis Anwendung finden, so besteht beispielweise bei der Porenraumcharakterisierung und dem Verständnis von Feuchtetransportmechanismen weiterhin Forschungsbedarf. Eine besondere Herausforderung stellt in diesem Zusammenhang die (ortsaufgelöste) Erfassung und Quantifizierung von Feuchteverteilungen bei Teilsättigung dar. Mittels 1H-NMR lassen sich der Wassergehalt sowie die Relaxationszeiten der Wasserstoffprotonen in Abhängigkeit von ihrer Bindungsart und der Porenumgebung messen. In vollgesättigten porösen Baustoffen kann somit das NMR-Signal als Porengrößenverteilung interpretiert werden. Da aber in der Praxis nur selten bis nie vollgesättigte Zustände vorliegen, befasst sich eine laufende Forschungsarbeit mit dem Verständnis der NMR-Signale teilgesättigter Porensysteme, die teilweise multimodale Porengrößenverteilungen aufweisen. Im Rahmen dieser Arbeit werden insgesamt 19 Sandsteine aus Deutschland, Tschechien und Italien sowohl im voll- als auch im teilgesättigten Zustand mit NMR untersucht. Definierte teilgesättigte Zustände werden durch Aufsättigen der Proben in Exsikkatoren mit verschiedenen relativen Luftfeuchten (z. B. 33 %, 75 %, 96%) erzeugt. Die Regulierung der Luftfeuchten erfolgt mit Hilfe von gesättigten Salzlösungen. Als Ergebnis wird die Veränderung der Signalamplitude und der T2-Relaxationszeitenverteilungen in Abhängigkeit von dem Feuchtezustand näher betrachtet. Des Weiteren erfolgt die Berechnung des Flüssigwasseranteils bzw. der adsorbierten Wasserfilmdicke einzelner Poren aus der mit Quecksilberporosimetrie bestimmten Porengrößenverteilung und der Annahme einer Porengeometrie (z.B. Schlitz-, Zylinderpore, etc.). Am Ende dieser Arbeit soll der Zusammenhang des NMR-Signals (Amplitude und Relaxationszeiten) mit dem Porensättigungsgrad in einem Porensystem mit multimodaler Porengrößenverteilung bei Teilsättigung aufgezeigt werden. T2 - Jahrestagung der Deutschen Geophysikalischen Gesellschaft CY - Online meeting DA - 18.05.2020 KW - NMR KW - Sandstein KW - Flüssigwasser KW - Teilsättigung KW - Hygrometrie PY - 2020 N1 - Geburtsname von Munsch, Sarah Mandy: Nagel, S. M. - Birth name of Munsch, Sarah Mandy: Nagel, S. M. AN - OPUS4-50861 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Deborah T1 - Impact damage characterization at RC plates with planar tomography and FEM N2 - Prediction of dynamic effects of reinforced concrete structures under impact loading is a technical challenge. This is a consequence of the great variability of the physical properties resulting from the wide adaptability of reinforced concrete and a consequence of the wide range of impact loading. Experiments and numerical investigations are normally used on a small scale to address the problem. In this paper, impact tests on reinforced conrete plates with the lateral dimensions of 1.5 m x 1.5 m and a thickness of 30 cm are presented. In bending reinforcement, besides the velocity two properties are varied, the diameter and the spatial distribution of the rebars. Experiments are performed at the Otto-Mohr-Laboratory of the Institute of Concrete Structures of the Technische Universit¨at Dresden. Due to the accelerated fall of the impactor the velocity ranges between 20 and 70 m/s. In addition to the measured quantities such as bearing forces, accelerations are also measured at 4 different positions on and under the plate, as well as the deflection at several positions. The measured data are used for the analysis of the damage form and the numerical examinations with the program Ansys Autodyn and the material model after Drucker-Prager. Numerical investigations support the tests, with detailed analysis of individual effects. These numerical computations and the planar tomographic investigations were carried out at BAM in Berlin. With the help of planar tomographic evaluation, the damaged structure is made visible and compared with the numerical results. Influences of the bending reinforcement are explained on the basis of damage evaluation in the local area and on selected measured values. In addition to the test evaluation, the tomographic and numerical methods are presented. T2 - XI International Conference on Structural Dynamics (EURODYN 2020) CY - Online meeting DA - 23.11.2020 KW - Post-impact evaluation KW - Damage characterization KW - Planar tomography KW - Drucker-Prager KW - Ansys Autodyn PY - 2020 AN - OPUS4-51768 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Munsch, Sarah Mandy T1 - Anwendung von KI für die Materialoptimierung im Bauwesen N2 - Diese Arbeit untersucht den Einsatz von Künstlicher Intelligenz (KI) in der Materialentwicklung für Beton, mit einem Fokus auf Karbonatisierungswiderstand, CO₂-Reduktion und Kostenoptimierung. Das KI-Tool SLAMD, das auf inverses Materialdesign setzt, konnte in Studien die Entwicklungszeit für Betonmischungen um bis zu 80 % verkürzen. Durch die Integration zusätzlicher 1H-Kernspinresonanz-Daten wurde der Prozess um weitere 40 % beschleunigt. Insgesamt zeigt sich, dass der Einsatz von KI die Effizienz und Nachhaltigkeit in der Materialentwicklung signifikant steigern kann. T2 - 11. Jahrestagung des DAfStb mit 63. Forschungskolloquium der BAM Green Intelligent Building CY - Berlin, Germany DA - 16.10.2024 KW - Cement & Concrete KW - SLAMD app KW - Nuclear magnetic KW - Resonance KW - Carbonation resistance PY - 2024 AN - OPUS4-61423 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kruschwitz, Sabine T1 - Non-destructive testing application examples using the NMR core-analyzing tomograph N2 - Nuclear magnetic resonance (NMR) with focus on 1H protons is increasingly applied for non-destructive testing applications. Besides mobile NMR, laboratory devices such as the NMR core-analyzing tomograph are used. As their magnetic field is more homogeneous, they enable measurements with higher signal-to-noise ratios (SNR), but with limited sample sizes. The tomograph presented here (8.9 MHz) was constructed for a maximum sample diameter of 70 mm and length of up to 1 m. The resolution, the echo time (min. 50 µs), the SNR and the measurement type can be adjusted by means of exchangable coils. The tomograph enables measurements along the complete sensitive length, slice-selective and even 2- or 3-dimensional measurements. A movable sample lifting system thereby allows a precise positioning of the sample. T2 - Magnetic Resonance in Porous Medie (MRPM) 2022 CY - Online meeting DA - 21.08.2022 KW - Spalling KW - Nuclear magnetic resonance KW - Tomography KW - Moisture transport KW - Frost salt attach PY - 2022 AN - OPUS4-55828 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Klewe, Tim T1 - Multivariate Auswertung von Radarsignalen zur Bestimmung typischer Feuchteschäden in Fußböden N2 - Leitungswasserschäden nahmen im Jahr 2018 mit rund 2,9 Milliarden Euro den größten Posten bei Gebäudeversicherungen ein und verursachten damit mehr Kosten, als Elementar-, Feuer, Sturm- und Hagelschäden zusammen. Neutronensonden helfen hier bereits bei der horizontalen Eingrenzung eines Feuchteschadens, wobei die vertikale Unterscheidung betroffener Schichten nur durch die zerstörende Entnahme von Bohrkernen vorgenommen werden kann. Der parallele Einsatz des Radarverfahrens soll hier mit seiner hohen Sensitivität für Wasser künftig zu einem erhöhten Informationsgehalt beitragen und eine kostengünstigere Schadensdiagnose und Planung der Reparaturmaßnahmen ermöglichen. In einem laufenden Forschungsvorhaben werden in systematischen Laborstudien gängige Schadensfälle an häufig anzutreffenden Fußbodenaufbauten simuliert und deren Einfluss auf das Radarverfahren untersucht. Die Bewertung der Schadensträchtigkeit zugeführter Wassermengen erfolgt mithilfe von Luftfeuchtesensoren, welche in der Dämmebene platziert sind. Beim Aufbau der Fußbodenstrukturen kommen Zement- und Anhydritestriche, sowie die Dämmmaterialen Styropor, Styrodur, Glaswolle und Perlite-Schüttung mit variierenden Schichtdicken zum Einsatz. Die Robustheit der zu entwickelnden Messmethode gegenüber derartig verschiedenen und in der Praxis häufig unbekannten Schichtstrukturen stellt eine besondere Herausforderung dar und soll durch den Einsatz multivariater Datenauswertung erhöht werden. Diesbezüglich empfehlen bisherige Ergebnisse die Betrachtung der örtlichen Verteilungen qualitativer Signalmerkmale wie Amplituden, Laufzeiten und Frequenzen im Radargramm (B-Scan). Deren Eignung für reale Schadensfälle außerhalb der Laborumgebung wird hierbei stets kritisch hinterfragt und soll weiterführend an Praxiseinsätzen validiert werden. T2 - 80. Jahrestagung der Deutschen Geophysikalischen Gesellschaft CY - Online Meeting DA - 18.05.2020 KW - Radar KW - Feuchte KW - Fußboden KW - Multivariate Datenauswertung PY - 2020 AN - OPUS4-50862 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Munsch, Sarah Mandy T1 - Study on the predictability of carbonation resistance of cementitous materials based on nmr features and the use of slamd N2 - This study explores the acceleration of material design in the concrete industry, focusing on improving carbonation resistance, a key factor in the durability of concrete structures. Traditional tests for carbonation resistance are lengthy, but with the construction industry aiming for sustainable production, finding a balance between carbonation resistance and CO2 footprint is crucial. Our research employs two innovative methods: 1. Applying the Sequential Learning App for Materials Discovery (SLAMD), an AI materials design framework, to an extensive dataset of real-world concrete compositions to selectively test materials that meet market demands: maximum durability, optimal eco-durability, and the best cost-durability trade-off. 2. Investigating 1H Nuclear Magnetic Resonance (NMR) relaxometry as a quick alternative for characterizing carbonation behavior, as it saves time compared to traditional tests and assesses the complete material's pore space. Specific NMR features are then integrated into the material design model, with the model's performance compared against traditional approaches. The results of our study are compelling, demonstrating that materials can be precisely tailored to meet specific requirements with minimal data points. This marks a significant stride in the concrete industry, indicating that NMR-based, low-fidelity surrogate characterizations, combined with a focused, data-driven design approach, can substantially accelerate the development of durable, sustainable concrete mixtures. T2 - Rilem Spring Convention & Conference CY - Milan, Italy DA - 10.04.2024 KW - Nuclear magnetic resonance KW - Carbonation resistance KW - Cement and concrete KW - SLAMD app KW - Predictability PY - 2024 AN - OPUS4-60000 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kruschwitz, Sabine T1 - Zerstörungsfreie Lokalisierung von Flüssigwasser in Fußböden durch Kombination von Radar und Neutronensonde N2 - Das Neutronensondenverfahren wird bereits seit vielen Jahren erfolgreich zur Eingrenzung und Quantifizierung auftretender Feuchteschäden an Fußböden eingesetzt. Hierzu bedarf es jedoch einer Vielzahl zerstörender Sondierungsbohrungen, welche die gewonnenen Messdaten kalibrieren und eine Tiefenzuordnung des Flüssigwassers zulassen. Dadurch entsteht ein zeitlicher und finanzieller Aufwand, der durch den parallelen Einsatz des elektromagnetischen Radarverfahrens vermieden werden könnte. Mit seiner hohen Sensitivität für Wasser bietet diese Messmethode die Möglichkeit der vertikalen Lokalisierung von Feuchte, was zu einer automatisierten Klassifizierung typischer Schadensfälle beitragen soll. In einem laufenden Forschungsvorhaben werden in systematischen Laborstudien gängige Schadensfälle an häufig anzutreffenden Fußbodenaufbauten simuliert und deren Einfluss auf die genannten Verfahren untersucht. Hierbei kommen Zement- und Anhydritestriche, sowie unterschiedliche Dämmmaterialen mit variierenden Schichtdicken zum Einsatz. Wesentlicher Bestandteil der Auswertung ist die Extraktion signifikanter Signalmerkmale des Radarverfahrens, welche Rückschlüsse auf den Schadensfall und ggf. die Wassermenge zulassen. Weiterführend sollen die Kombinationsmöglichkeiten der verschiedenen Signalmerkmale und der Neutronensondendaten durch Methoden der multivariaten Datenauswertung und des maschinellen Lernens geprüft werden. Die Unabhängigkeit gegenüber wechselnden Schichtdicken und Materialien steht hierbei besonders im Fokus und soll anhand der erzielten Ergebnisse evaluiert werden. T2 - 10. Kolloquium Industrieböden CY - Esslingen, Germany DA - 03.03.2020 KW - Radar KW - Feuchte KW - Neutronensonde PY - 2020 AN - OPUS4-50590 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schultheiß, Annika L. A1 - Kruschwitz, Sabine A1 - Wilsch, Gerd A1 - Bogner, Andreas A1 - Patel, Ravi T1 - Lessons learnt on quantitative spatial chloride analysis using LIBS and μXRF N2 - Understanding chloride ingress is crucial in the context of the durability of concrete structures against corrosion. Techniques such as Laser-Induced Breakdown Spectroscopy (LIBS) and Micro X‑ray Fluorescence (µXRF) can provide a 2D representation of chloride ingress. However, obtaining quantitative data from such techniques is not a trivial task. In this study, we focus on factors such as sample preparation, measurement settings, calibration strategy, and post-processing of results which directly affect the outcome of the experiments but are rarely discussed in the literature. T2 - Rilem Annual Week 2024 CY - Toulouse, France DA - 25.08.2024 KW - Chloride ingress KW - LIBS, µXRF KW - Imaging KW - Nondestructive testing KW - Durability PY - 2024 AN - OPUS4-61663 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Klewe, Tim T1 - Classification of moisture damage in layered building floors with GPR and neutron probe N2 - In 2019, 3.1 billion Euro of damage was caused by piped water, accounting for the largest share (53%) of building insurance claims in Germany. In the event of damage, the accurate determination and localization of water ingress is essential to plan for and perform efficient renovations. Neutron probes are already applied successfully on building floors to localize the source of damage and other affected areas. However, additional information about the depth of moisture penetration can only be obtained by the destructive extraction of drilling cores, which is a time- and cost-intensive procedure. With its high sensitivity to water and fast measurement procedure, Ground Penetrating Radar (GPR) can serve as a suitable extension to the neutron probe, enabling more precise characterization of common forms of moisture damage. In this research project, we study the influence of common types of moisture damage in differing floor constructions using GPR and a neutron probe. A measurement setup with interchangeable layers is used to vary the screed material (cement or anhydrite) and insulation material (Styrofoam, Styrodur, glass wool, perlite), as well as the respective layer thickness. Every configuration is measured for the following main cases: 1) dry state; 2) with a damaged insulation layer and 3) a damaged screed layer. The evaluation is focused on the extraction of distinctive signal features for GPR, which can be used to classify the underlying case of damage. Furthermore, possible combinations of these features are investigated using multivariate data analysis and machine learning in order to evaluate the influence of different floor constructions. To validate the developed methods, practical measurements on real damage cases in Germany are carried out and compared to reference data obtained from drilling cores. T2 - EGU 21 General Assembly CY - Online meeting DA - 19.04.2021 KW - Radar KW - Moisture KW - Building floors PY - 2021 AN - OPUS4-52532 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Munsch, Sarah Mandy T1 - Interpretation of NMR signals from partly saturated sandstones N2 - The development of prevention methods and the detection of moisture related damages in buildings and transport infrastructure at an early stage are current issues in the field of non-destructive testing in civil engineering. Especially the subject of partial saturation requires further research since it is more likely to occur than full saturation of the material. In fact, partial saturation in porous media is even more complicated because both fully and partly saturated pores (i.e. pores in which the surfaces are covered with thin water layers) are present. As the non-destructive method nuclear magnetic resonance (NMR) enables the measurement and quantification of relative low moisture contents, it is suitable for the investigation of partly saturated porous building materials. Nevertheless, the differentiation between partly and fully saturated pores is still a challenge. Therefore, in this study, we investigate two sandstones types (Bozanov and Schönbrunner sandstone) at various defined saturation states by using NMR. Furthermore, we measure the relative humidities within the samples and compute the water layer thicknesses (WLT) along the pore walls of all pore sizes to calculate the corresponding degree of pore saturation. To finally assign the NMR signals to pore sizes and to differentiate between partly and fully saturated pores, the water content distribution obtained from the WLT calculation is used for calibration of the relaxation-time distribution. T2 - ISEMA 2021 CY - Online meeting DA - 26.07.2021 KW - NMR KW - Relative humidity KW - Water layer thickness KW - Partial pore saturation KW - Pore-size distribution PY - 2021 N1 - Geburtsname von Munsch, Sarah Mandy: Nagel, S. M. - Birth name of Munsch, Sarah Mandy: Nagel, S. M. AN - OPUS4-53044 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kruschwitz, Sabine A1 - Munsch, Sarah Mandy T1 - Potential automatisierter NMR-Messungen zur Ermittlung von Hydratationseigenschaften - ein Vergleich mit Vicat- und Wärmeflusskalorimetrie-Ergebnissen N2 - Es werden Ergebnisse von 1H-NMR-Relaxometrie-Messungen an Salzbeton und einem alkali-aktivierten Material, die im Rahmen des Themenfeldprojektes Seal Waste Safe durchgeführt werden, vorgestellt. Dabei wird die zeitliche Entwicklung von ausgewählten Merkmalen der ermittelten T2-Relaxationszeitenverteilungen während der Hydratation betrachtet. Als Referenz zur Identifikation von charakteristischen Hydratationsereignissen dienen der Vicat-Nadeleindringversuch und Wärmeflusskalorimetrie. T2 - Online-Workshop „Dauerhafte Verschlussbauwerke für Endlager“ CY - Online meeting DA - 14.02.2022 KW - NMR-Relaxometrie KW - Alkali-aktiviertes Material KW - Salzbeton KW - Seal Waste Safe PY - 2022 AN - OPUS4-54945 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kruschwitz, Sabine T1 - Laserinduzierte Plasmaspektroskopie (LIBS) im Bauwesen: Anwendungen, Potenziale und aktuelle Entwicklungen N2 - Die laserinduzierte Plasmaspektroskopie (LIBS) hat sich in den letzten Jahrzehnten als leistungsstarke Methode zur Materialcharakterisierung etabliert und bietet insbesondere im Bauwesen vielversprechende Anwendungsmöglichkeiten. Im Vergleich zur klassischen Nasschemie, die oft zeitaufwendig ist und einen hohen Laboraufwand erfordert, zeichnet sich LIBS durch Schnelligkeit, minimale Probenvorbereitung und das Potenzial zur mobilen Anwendung aus. Im Rahmen des Vortrags wird das im Jahr 2022 vom UA des FA ZfP im Bauwesen veröffentlichte DGZfP-Merkblatt B14 „Quantifizierung von Chlorid in Beton mit der laserinduzierten Plasmaspektroskopie (LIBS)“ vorgestellt und dessen Kerninhalte erläutert. Darüber hinaus werden aktuelle Themen präsentiert, die derzeit im UA von verschiedenen Partnern bearbeitet werden. Dazu gehören unter anderem der Einsatz von LIBS zur Elementanalyse von Schwefel im Zusammenhang mit biogener Schwefelsäurekorrosion sowie wissenschaftliche Fragestellungen wie die Identifizierung von Zementarten und -gehalten im Beton. Ein weiteres Highlight des Vortrags ist ein aktuelles multidisziplinäres Projekt, das den Einsatz von LIBS in Kombination mit hyperspektraler Bildgebung zur automatisierten Sortierung von Bau- und Abbruchabfällen untersucht. Ziel des Vortrags ist es, einem breiten Fachpublikum die Potenziale von LIBS im Bauwesen näherzubringen und die Diskussion über zukünftige Anwendungen und Entwicklungen anzuregen. T2 - DGZfP Jahrestagung 2025 CY - Berlin, Germany DA - 26.05.2025 KW - Chloride KW - Bauabfälle KW - Recycling KW - Sortierung KW - Laserinduzierte Plasmaspektroskopie KW - Bauwesen PY - 2025 AN - OPUS4-64123 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bintz, Thilo T1 - Detailed investigation of capillary active insulation materials by 1H nuclear magnetic resonance (NMR) and thermogravimetric drying N2 - Capillary active interior insulation materials are an important approach to minimize energy losses of historical buildings. A key factor for their performance is a high liquid conductivity, which enables redistribution of liquid moisture within the material. We set up an experiment to investigate the development of moisture profiles within two different interior insulation materials, calcium-silicate (CaSi) and expanded perlite (EP), under constant boundary conditions. The moisture profiles were determined by two different methods: simple destructive sample slicing with subsequent thermogravimetric drying as well as non-destructive NMR measurements with high spatial resolution. The moisture profiles obtained from both methods show good agreement, when compared at the low spatial resolution of sample slicing, which demonstrates the reliability of this method. Moreover, the measured T2- relaxation-time distributions across the sample depth were measured, which may give further insight into the saturation degree of the different pore sizes. In order to explain differences in the moisture profiles between CaSi and EP, we determined their pore-size distribution with different methods: conversion of the NMR T2 relaxationtime distribution at full saturation, mercury intrusion porosimetry and indirect determination from pressure plate measurements. CaSi shows a unimodal distribution at small pore diameters, while in EP, a bi-modal or wider distribution was found. We assume that the smaller pore diameters of CaSi lead to a higher capillary conductivity, which causes a more distributed moisture profile in comparison with that of EP. T2 - NDT-CE CY - Zurich, Switzerland DA - 16.08.2022 KW - Insulation material KW - Nuclear magnetic resonance KW - Capillary conductivity KW - Pore-size distribution PY - 2022 AN - OPUS4-57918 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Munsch, Sarah Mandy T1 - AI-Driven Material Design: Accelerating Innovation with SLAMD N2 - In the Horizon Europe-funded project REINCARNATE, a user-friendly web application, the "Sequential Learning App for Materials Discovery" (SLAMD), was developed to revolutionize the materials design process [1]. By integrating a digital lab twin with AI-driven approaches, SLAMD supports and significantly accelerates the discovery of optimal material compositions within complex parameter spaces, while considering eco-efficiency and cost-effectiveness. Its versatility and practical relevance are demonstrated through diverse applications: SLAMD is being used to develop two classes of concrete incorporating recycled materials, each with unique requirements and constraints imposed by regulations and industry standards. The first application focuses on optimizing compressive strength with at least 30 % substitution of the CEM II binder using a mix of recycled glass powder and concrete fines. The second targets the formulation of concrete for five exposure classes, exceeding the regulatory limit of 50 % recycled aggregates while meeting all performance criteria. Besides finding new concrete mixes with a higher percentage of recycling materials in their composition, these demonstration cases aim also to spread the use of SLAMD as a tool for industry stakeholders. In collaboration with the industrial partner Holcim (Germany) GmbH, SLAMD accelerated the development process of concrete with high carbonation resistance by a factor of 80 %. This success was further enhanced by incorporating NMR features from non-carbonated sister samples at only 28 days of age, revealing additional acceleration potential [2]. Currently, the integration of non-destructive testing methods, such as Laser-Induced Breakdown Spectroscopy, is being explored to further shorten development cycles. Another example is the use of SLAMD within the Volkswagen Foundation-funded project "Circular B-IO," where it is adapted and applied to optimize the heterogeneous material flow of recycled substances. By creating homogenized supply streams, SLAMD contributes to the reliable production of low-carbon concrete in Kenya, enabling more sustainable construction practices. Looking ahead, SLAMD may be used to address a wide range of material-related challenges. Through its ability to navigate complex datasets and identify promising solutions efficiently, it opens new opportunities for advancing material design, accelerating innovation, and promoting sustainability. T2 - MaterialsWeek 2025 CY - Frankfurt am Main, Germany DA - 02.04.2025 KW - SLAMD KW - Carbonation resistance KW - REINCARNATE KW - Nuclear magentic resonance KW - Circular B-IO PY - 2025 AN - OPUS4-62990 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - John, Sebastian T1 - Delfin - Statusbericht zum 4.HJM N2 - Präsentation über den Fortschritt der BAM zum Vorhaben Delfin, welches sich mit der Entwicklung und Schädigungsneigung von Composite-Wasserstoffbehältern für den Anwendungsfall KFZ beschäftigt T2 - 4. Halbjahresmeeting zum Vorhaben Delfin CY - Online meeting DA - 21.10.2020 KW - Wasserstoff KW - Impact KW - Druckbehälter PY - 2020 AN - OPUS4-51495 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tang, Chi-Long T1 - Minimizing the FFF-3D printer hardware bias on particle emission by adjustment of the set extruder temperature N2 - Fused filament fabrication (FFF) on desktop 3D printers is a material extrusion-based technique often used by educational institutions, small enterprises and private households. Polymeric filaments are melted and extruded through a heated nozzle to form a 3D object in layers. The extrusion temperature is therefore a key parameter for a successful print job, but also one of the main driving factors for the emission of harmful air pollutants, namely ultrafine particles and volatile organic gases, which are formed by thermal stress on the polymeric feedstock. The awareness of potential health risks has increased the number of emission studies in the past years. However, the multiplicity of study designs makes an objective comparison of emission data challenging because printer hardware factors such as the actual extruder temperature (TE) and also feedstockspecific emissions are not considered. We assume that across the market of commercial low- and mid-price FFF printers substantial deviations between actual and set extruder temperatures exist, which have a strong effect on the emissions and hence may bias the findings of exposure studies. In our last publication, we presented a standardized feedstock-specific emission test method and showed that for each investigated feedstock an increase in actual extruder temperature was accompanied by an increase in particle emissions (Tang and Seeger, 2022). Therefore, any systematic discrepancy between set and actual extruder temperature matters. In this study, we used a thermocouple and an infrared camera to measure the actual extruder temperatures at different heights. We found significant under- and overestimation of the actual extruder temperatures by the respective set temperatures in three commercial printers. This caused a broad variation of the measured total numbers of emitted particles (TP), even when the same feedstock was operated. For the determination of TP, we followed the DE-UZ 219 test guideline. In a second round we repeated the tests with all printers adjusted to exactly the same extruder temperatures, i.e., to TE=230°C for ABS and TE=210°C for PLA. All measurements were conducted in a 1 m³ emission test chamber. Particle emissions in the size range between 4 nm and 20 μm were detected. Printing on three different printer models without temperature adjustment resulted for each of the investigated feedstocks in a variation in TP of around two orders of magnitude. After temperature adjustment, this was substantially reduced to approx. one order of magnitude and hence minimizes the bias of printer hardware on the emissions. Our findings suggest that adjustment of the extruder temperature should be mandatory in emission testing standards. It also poses a more accurate benchmark and provides more reliable emission data for evaluation of indoor air quality or for health risk assessments. In addition, a proper temperature setting is in the interest of the user. Some commercial FFF printers may have a higher actual extruder temperature than displayed and unintended overheating may not only impair the print quality but may cause unnecessarily increased exposure to particle emissions. T2 - European Aerosol Conference 2023 CY - Málaga, Spain DA - 03.09.2023 KW - Ultrafine particles KW - Thermal imaging KW - 3D printing KW - Indoor air quality KW - Emission testing PY - 2023 AN - OPUS4-58258 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -