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Liste des publications du LMPS

Affichage des publications 41 à 50 sur 1289 au total

Data Analysis, Statistics and Probability

Physics-informed Markov chains for remaining useful life prediction of wire bonds in power electronic modules

This paper presents a new approach to estimate the remaining useful life of a power electronic module where failure is caused by degradation in the wire bonds. The novelty of this work is that estimation is given for each loading cycle as opposed to…

Mehdi Ghrabli, Mounira Bouarroudj, Ludovic Chamoin, Emanuel Aldea

Microelectronics Reliability -

Numerical Analysis

Learning Dynamics of Nonlinear Field‐Circuit Coupled Problems With a Physics‐Data Combined Model

This work introduces a combined model that integrates a linear state-space model with a Koopman-type machine-learning model to efficiently predict the dynamics of nonlinear, high-dimensional, and field-circuit coupled systems, as encountered in…

Shiqi Wu, Gérard Meunier, Olivier Chadebec, Qianxiao Li, Ludovic Chamoin

International Journal for Numerical Methods in Engineering -

Risques

Numerical earthquake-induced landslide hazard assessment at regional scale in the Colombian Andes

This paper presents an implementation of the SEM-Newmark analysis framework as a method for the earthquake-induced landslide hazard assessment at a regional scale. The implementation relies on a semi-coupling between (i) the physics-based numerical…

Exneyder Montoya-Araque, Silvana Montoya-Noguera, Fernando Lopez‐caballero, Filippo Gatti

Soil Dynamics and Earthquake Engineering -

Engineering Sciences

Optimizing passive building walls using PCMs and bio-based hygroscopic materials

Advances in Bio-Based Materials for Construction and Energy Efficiency fills a gap in the published literature, discussing bio-based materials and biotechnologies that are crucial for a more sustainable construction industry. With comprehensive…

Wendong Li, Mourad Rahim, Dongxia Wu, Mohammed El Ganaoui, Rachid Bennacer

Fernando Pacheco-Torgal -

Artificial Intelligence

Improving Digital Twin Using AI and SCADA

Renewable energy transition is undergoing at a fast pace. To ensure an economic viability, thus ensuring its continuous development, an accurate estimation, and means of improvement regarding the asset production capability and expected operational…

Malbois Le Borgne Briac, Gatti Filippo, Desmorat Rodrigue, Capaldo Matteo

3rd IACM Digital Twins in Engineering Conference (DTE 2025) & 1st ECCOMAS Artificial Intelligence and Computational Methods in Applied Science (AICOMAS 2025) -

Risques

Graph Transformer-Based Flood Susceptibility Assessment of the French Riviera: Implications for Railway Infrastructure Resilience

Floods are one of the deadliest natural hazards worldwide, owing to their frequency and widespread impact. Moreover, flood hazard is escalating continuously due to climate change, exacerbating the risks to human life, infrastructure, and ecosystems…

Sreenath Vemula, Filippo Gatti, Pierre Jehel

3rd IACM Digital Twins in Engineering Conference (DTE 2025) & 1st ECCOMAS Artificial Intelligence and Computational Methods in Applied Science (AICOMAS 2025) -

Engineering Sciences

Quantification of Reinforcement Debonding in Damaged Mortar via Digital Volume Correlation

Background. Debonding between a cementitious material and a reinforcement is a mechanical phenomenon of great interest. It cannot be quantified directly through standard tests since it occurs within the material bulk. Objective. The goal is to…

Sylvain Langlois, Farid Benboudjema, Maroua Maaroufi, Fikri Hafid, Benjamin Smaniotto, François Hild, Amélie Fau

Experimental Mechanics -