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Liste des publications du LMPS

Affichage des publications 21 à 30 sur 1256 au total

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 -

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 -

Mechanics of materials

Experimental strategies to improve composite delamination response by promoting dissipation mechanisms at different length scales

This work explores different strategies to improve the delamination response of carbon fibers reinforced composite materials. In particular, it targets the creation of bridging ligaments to provide an extra dissipation mechanism with a long cohesive…

Luis Torres, Karin Saavedra, Federica Daghia

Composites Part A: Applied Science and Manufacturing -

Engineering Sciences

Fabrication of copper composites containing 3D graphene-like carbon network

Simultaneously improving copper’s mechanical strength and electrical conductivity through alloying or compositing is challenging. Constructing a three-dimensional continuously conductive and reinforcing network has been considered an effective…

Delong He, Oussama Keddache, Mingyu Zhou, Yi Ding, Jinbo Bai

Journal of Alloys and Compounds -