Filtern
Erscheinungsjahr
Dokumenttyp
- Beitrag zu einem Tagungsband (12)
- Zeitschriftenartikel (10)
- Vortrag (1)
- Posterpräsentation (1)
Schlagworte
- Drop test (4)
- Digital image correlation (3)
- Adjustment calculation (2)
- Behälterzulassung (2)
- Bending (2)
- Compressive strength (2)
- DUCON® (2)
- Damage detection and localisation (2)
- Digital Image Correlation (2)
- Ductility (2)
Organisationseinheit der BAM
- 8 Zerstörungsfreie Prüfung (14)
- 8.1 Sensorik, mess- und prüftechnische Verfahren (14)
- 7 Bauwerkssicherheit (9)
- 7.1 Baustoffe (4)
- 7.2 Ingenieurbau (3)
- 7.4 Baustofftechnologie (3)
- 7.7 Modellierung und Simulation (3)
- 8.6 Faseroptische Sensorik (3)
- 3 Gefahrgutumschließungen; Energiespeicher (2)
- 2 Prozess- und Anlagensicherheit (1)
Paper des Monats
- ja (2)
Eingeladener Vortrag
- nein (1)
Zur Bewertung der Widerstandsfähigkeit von Schutzobjekten und Bauteilen gegen Explosionsbeanspruchung führt die Bundesanstalt für Materialforschung und -prüfung (BAM) regelmäßig Sprengversuche im Realmaßstab auf einem Testgelände durch.
Solche Versuche sind planungs- und ressourcenintensiv, sodass sie zunehmend durch numerische Simulationen ergänzt bzw. ersetzt werden.
Aktuelle Forschungsarbeiten zielen darauf ab, neue Berechnungsmethoden und Materialmodelle zu entwickeln, mit denen die Bestimmung der Bauteilantwort sowie die daraus resultierende Schädigung nach einem Explosionsereignis möglich sind.
Zur Validierung solcher Ansätze ist es notwendig, systematische Versuche mit unterschiedlichen Szenarien durchzuführen, bei denen die relevanten Parameter mit Hilfe verschiedener Messmethoden aufgezeichnet werden.
Using digital twins for decision making is a very promising concept which combines simulation models with corresponding experimental sensor data in order to support maintenance decisions or to investigate the reliability. The quality of the prognosis strongly depends on both the data quality and the quality of the digital twin. The latter comprises both the modeling assumptions as well as the correct parameters of these models. This article discusses the challenges when applying this concept to realmeasurement data for a demonstrator bridge in the lab, including the data management, the iterative development of the simulation model as well as the identification/updating procedure using Bayesian inference with a potentially large number of parameters. The investigated scenarios include both the iterative identification of the structural model parameters as well as scenarios related to a damage identification. In addition, the article aims at providing all models and data in a reproducibleway such that other researcher can use this setup to validate their methodologies.
Within the presented research project, experimental and numerical investigations were performed to develop a thin-shelled, modular, mobile element system made of a micro-reinforced ultra-high-performance ductile concrete (DUCON®). Material parameters were experimentally determined to adapt the material model within the numerical analysis applying the Drucker-Prager relationship. Afterwards, for validation of the numerical models, quasi-static and high-velocity impact tests were performed on plate-like structures. Finally, a suitable geometry of transportable barrier elements will be designed, which provides a maximum of resistance against impact by a minimum of weight and a maximum of mobility.
Within the presented research project, experimental and numerical investigations were performed to develop a thin-shelled, modular, mobile element system made of a micro-reinforced ultra-high-performance ductile concrete (DUCON®). Material parameters were experimentally determined to adapt the material model within the numerical analysis applying the Drucker-Prager relationship. Afterwards, for validation of the numerical models, quasi-static and high-velocity impact tests were performed on plate-like structures. Finally, a suitable geometry of transportable barrier elements will be designed, which provides a maximum of resistance against impact by a minimum of weight and a maximum of mobility.