Publications

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: 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

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

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

Engineering Sciences

Training and Generalization Errors for Underparameterized Neural Networks

Daniel Martin Xavier, Ludovic Chamoin, Laurent Fribourg

IEEE Control Systems Letters - 2023

Human health and pathology

Rotation of the single-lead ECG along the planar QRS loop for improving morphologic interpretation

W. Brian Chiu, Derek Rinderknecht, Faisal Amlani

Journal of Electrocardiology - 2023

Life Sciences

New insights into nanoscale organization of dentin

Dentin is the main tissue of the tooth, located between the enamel and the pulpal cavity. Dentin displays a hierarchical organization with microscale porosities surrounded by a dense mineral collar (peritubular dentin, PTD) called tubules, embedded…

MC. Riou, J. Pérez, A. Martin, Alexis Nicolaÿ, T. Reiss, BPJ Fournier, M. de la Dure-Molla, Elsa Vennat

CMBBE 2023 : The 18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering - 2023

Engineering Sciences

Evaluation of effects of short and long-term thermo-oxidative aging on chemo-rheological and mechanical properties of asphalt concretes

S. Somé, A. Kouevidjin, V. Mouillet, A. Feeser, J.-F. Barthélémy, Hachmi Ben Dhia

Road Materials and Pavement Design - 2023