A novel data-driven approach to learn constitutive law with observable data is proposed in the context of structural health monitoring (SHM). Constitutive laws are represented by a physics-augmented neural network taking strain in input and free…
Antoine Benady, Ludovic Chamoin, Emmanuel Baranger
IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology. -
The damage of mechanical structures is a permanent concern in engineering, related to issues of durability and safety. The theme is currently the subject of various research activities; a typical example is the ERC project DREAM-ON (2021-2026), in…
Antoine Benady, Emmanuel Baranger, Ludovic Chamoin
XI Conference on Adaptive Modeling and Simulation -
The peak inelastic displacement of a single-degree-of-freedom (SDOF) system is an efficient ground motion (GM) intensity measure (IM) for estimating seismic demands in structures and infrastructures. Most ground motion models (GMMs) that predict…
Luke Jenkins, Maggie Creed, Karim Tarbali, Manoranjan Muthusamy, Robert Šakić Trogrlić, Jeremy Phillips, C. Scott Watson, Hugh Sinclair, Carmine Galasso, John Mccloskey
International Journal of Disaster Risk Reduction -
Weight savings in mobility and transport are mandatory in order to reduce CO2 emissions and energy consumption. The steel industry offers weight saving solutions by a growing portfolio of Advanced High Strength Steel (AHSS) products. AHSS owe their…
Frenk van den Berg, Maxim Aarnts, Haibing Yang, Stefan Melzer, Danique Fintelman, Bernard Ennis, Lena Gillgren, Denis Jorge-Badiola, Ane Martínez-De-Guerenu, Claire Davis, Graeme West, Lei Zhou, Mohsen Jolfaei, Anthony J. Peyton, John W. Wilson, Arno Volker, Quincy Martina, Arno Duijster, Mikael Malmström, Anton Jansson, Bevis Hutchinson, Claudio Mocci, Marco Vannucci, Valentina Colla, Christophe Reboud, Anastassios Skarlatos, Roberto Miorelli, Patrick Lombard, Olivier Hubert, Julien Taurines, Inna Lobanova, Stéphane Despréaux, Stéphane Labbé, Carola Celada-Casero
European Conference on Non-Destructive Testing (ECNDT) -
Dye experimentation is a widely used method in experimental fluid mechanics for flow analysis or for the study of the transport of particles within a fluid. This technique is particularly useful in biomedical diagnostic applications ranging from…
On-line non-destructive magnetic monitoring (NDM) techniques are relevant to evaluate the quality of steels and their fluctuations during forming process. The on-line monitoring faces different issues. Due to magneto-mechanical coupling, stress that…
Olivier Hubert, Julien Taurines, Zakariae Maazaz, Raphael Crepinge, Carola Celada-Casero, Frenk van den Berg
European Conference on Non-Destructive Testing (ECNDT) -
Electromagnetic based systems receive ever-growing interest for on-line assessment of steel strip properties for major manufacturers, especially when Advanced High Strength Steel (AHSS) products for automotive purposes are considered. Manufacturing…
Patrick Lombard, Olivier Hubert, Frenk van den Berg
European Conference on Non-Destructive Testing (ECNDT) -
The fundamental frequency plays a primary role in the dynamic assessment of Cultural Heritage towers. Local and global features may impact its value: geometric, material features, interaction with the soil and adjacent buildings, aging, the…
Arnaud Montabert, Cédric Giry, Claire Limoge Schraen, Jade Lépine, Clarisse Choueiri, E. Diego Mercerat, Philippe Guéguen