Publications

Structural mechanics

On the benefits of a multiscale domain decomposition method to model-order reduction for frictional contact problems

In this paper, the efficiency of a multiscale strategy based on a domain decomposition method (DDM) for model-order reduction of time-dependent frictional contact problems is presented. The proposed strategy relies on the LArge Time INcrement (LATIN…

Donald Zeka, P.-A. Guidault, M. Guiton, David Néron

Computer Methods in Applied Mechanics and Engineering - 2024

Physics

Influence of rate effects on delamination: From Crack Leap Shear tests to low-velocity impacts

This paper is devoted to the study of different aspects of rate effects in the case of delamination. Two rate dependent cohesive zone models are compared for which the shear rate dependency is identified using Crack Leap Shear experiments. For both…

Maxime Pouliquen, Olivier Allix, Roland Ortiz, Juan Pedro Berro Ramirez

Composite Structures - 2024

Geophysics

Hybrid physics-based/data-based seismic ground motion generator of a site

Accurately estimating the seismic response following an earthquake can save lives. However, limited computational resources and poorly characterized and unknown variability in geology and seismotectonic context pose significant challenges for…

Gottfried Jacquet

Materials Science

Silicon mediated twin formation in laser direct energy deposited 316L stainless steel

Microstructures of two laser direct energy deposited 316L stainless steel samples printed using the same additive manufacturing parameters and primarily differing in their Si content, 2.2wt% (316L-Si) and 0.73wt% (316L), were studied. A larger…

Kewei Chen, Juan Guillermo Santos Macías, Nathalie Isac, Maxime Vallet, Louis Cornet, Manas V Upadhyay

Engineering Sciences

Employing Williams' series for the identification of fracture mechanics parameters from phase-field simulations

Fracture mechanics and damage mechanics are two theories that describe the degradation of the bearing capacity of structures. Fracture mechanics is based on a discontinuous description of cracking, while damage mechanics proposes a continuous…

Leon M. Kolditz, Samy Dray, Viktor Kosin, Amélie Fau, François Hild, Thomas Wick

Engineering Fracture Mechanics - 2024

Machine Learning

Deep-learning model for background parenchymal enhancement classification in contrast-enhanced mammography

Background. Breast background parenchymal enhancement (BPE) is correlated with the risk of breast cancer. BPE level is currently assessed by radiologists in contrast-enhanced mammography (CEM) using 4 classes: minimal, mild, moderate and marked, as…

E Ripaud, C Jailin, G I Quintana, P Milioni de Carvalho, R Sanchez de la Rosa, L Vancamberg

Physics in Medicine and Biology - 2024

Mechanics of materials

In-situ localization of damage in a Zn-Al-Mg coating deposited on steel by continuous hot-dip galvanizing

Houssem Eddine Chaieb, Vincent Maurel, K Ammar, Samuel Forest, Alexandre Tanguy, Eva Héripré, Franck Nozahic, Jean-Michel Mataigne, Joost de Strycker

Scripta Materialia - 2024

Dynamique, vibrations

Identification and proposition of a locally updated damping model for reinforced concrete elements

Earthquake events in recent years have led governments to focus on risk structures safety. Performative models integrating a fine representation of physical phenomena are required to ensure the viability of such structures. Notably, the reinforced…

Clotilde Chambreuil, Cédric Giry, Frédéric Ragueneau, Pierre Léger

18th World Conference on Earthquake Engineering (WCEE2024) - 2024

Civil Engineering

Failure risk evaluation of a masonry bridge under seismic loadings

The French territory railway bridges are in large part masonry ones. Their behaviour must be understood to improve the risk management plan of such structures, particularly under natural hazards like seismic loadings. However, the modelling of…

Clotilde Chambreuil, Cédric Giry, Fernando Lopez‐caballero

18th World Conference on Earthquake Engineering (WCEE2024) - 2024

Microelectronics

Sub-millisecond electric field sensing with an individual rare-earth doped ferroelectric nanocrystal

Understanding the dynamics of electrical signals within neuronal assemblies is crucial to unraveling complex brain function. Despite recent advances in employing optically active nanostructures in transmembrane potential sensing, there remains room…

Athulya Muraleedharan, Jingye Zou, Maxime Vallet, Abdelali Zaki, Christine Bogicevic, Charles Paillard, Karen Perronet, François Treussart

ACS Applied Materials & Interfaces - 2024