Publications

Engineering Sciences

Hybrid infrared-visible multiview correlation to study damage in a woven composite complex-shaped specimen

In this study, a cyclic tensile test on a notched butterfly specimen made of woven glass fiber composite was performed on a modified Arcan fixture. During the mechanical test, the sample was monitored with a hybrid stereoscopic system comprised of…

Andrija Zaplatić, Zvonimir Tomičević, Xuyang Chang, Ivica Skozrit, Stéphane Roux, François Hild

Coupled systems mechanics - 2023

Engineering Sciences

4D full-field measurements over the entire loading history: Evaluation of different temporal interpolations

Standard Digital Volume Correlation (DVC) approaches are based on pattern matching between two reconstructed volumes acquired at different stages. Such frameworks are limited by the number of scans (due to acquisition duration), and time-dependent…

Ana Vrgoč, Viktor Kosin, Benjamin Smaniotto, Clément Jailin, Zvonimir Tomičević, François Hild

Coupled systems mechanics - 2023

Engineering Sciences

Multiscale Damage Analyses of Red Sandstone in Uniaxial Compression Based on Advanced Digital Volume Correlation

X-ray computed tomography (XCT) combined with Digital volume correlation (DVC) has proven to be a powerful tool for bulk deformation measurements of rocks subjected to in-situ experiments. Traditional DVC (i.e., local/global approaches) is generally…

Haizhou Liu, Lingtao Mao, Xuyang Chang, François Hild

Rock Mechanics and Rock Engineering - 2023

Engineering Sciences

Mesoscale DVC analyses and parameter calibration for pantographic block in 3-point flexure

In the present work, the mechanical response of a fiber network metamaterial was studied when subjected to 3-point flexure. To account for the initial deformation of the sample due to the fabrication process, backtracking (i.e., the nominal mesh was…

Malo Valmalle, Benjamin Smaniotto, Mario Spagnuolo, Alessandro Ciallella, François Hild

European Journal of Mechanics - A/Solids - 2023

Engineering Sciences

Experimental and numerical analyses of the interaction of creep with mesoscale damage in cementitious materials

Delayed long-term strains of concrete caused by creep are a known problem leading to, \eg the loss of pre-stress and additional microcracking in concrete structures. In order to improve predictions of the creep strains and damage state of…

Aliaksandra Tsitova, Fabien Bernachy-Barbe, Benoît Bary, François Hild

Mechanics of Materials - 2023

Artificial Intelligence

Physics-augmented neural networks for constitutive modeling: training with the modified Constitutive Relation Error

In the context of structural health monitoring (SHM), a novel approach is presented for learning con- stitutive laws using observable data. The proposed method utilizes a data-driven approach, employing a physics-augmented neural network to…

Antoine Benady, Emmanuel Baranger, Ludovic Chamoin

MORTech 2023 – 6th International Workshop on Model Reduction Techniques - 2023

Engineering Sciences

Non-intrusive electro-thermo-mechanical reduced model for diagnosis and prognostic on IGBT power modules

In this work, a reduced model based on the Proper Generalized Decomposition is developed to model the electro-thermo-mechanical of IGBT power module. The reduced model enables obtaining the solution to the coupled problem considering multiple model…

Louis Schuler, Ludovic Chamoin, Zoubir Khatir, Mounira Bouarroudj, Merouane Ouhab

2023 24th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE) - 2023

Artificial Intelligence

Artificial Neural Networks: layer architectures, optimizers and automatic differentiation

This chapter is meant to provide a basic yet solid understanding of artificial neural networks, to a heterogeneous readership. In particular, the chapter presents three major types of neural networks, namely: feed-forward multi layer perceptrons …

Filippo Gatti

Artificial Intelligence

Artificial Neural Networks: advanced topics

This chapter is a follow-up of the basic introduction provided in the chapter Artificial Neural Networks: layer architectures, optimizers and automatic differentiation, which prepares the readership to the following theoretical insights. It was…

Filippo Gatti

Electric power

Multi-material topology optimization of a flux switching machine

This paper investigates the topology optimization of the rotor of a 3-phase flux-switching machine with 12 permanent magnets located within the stator. The objective is to find the steel distribution within the rotor that maximizes the average…

Théodore Cherrière, Sami Hlioui, Luc Laurent, François Louf, Hamid Ben Ahmed, Mohamed Gabsi

Science and Technology for Energy Transition - 2023