Recherche

Publications

Liste des publications du LMPS

Affichage des publications 61 à 70 sur 1905 au total

Civil Engineering

Three-point bend test analysis using Digital Image Correlation: From elasticity to damage

Three-point bend tests give access to analytical solutions for identifying mechanical parameters of constitutive models, making it a widely used method for analyzing the behavior of cementitious materials. However, a lack of knowledge regarding the…

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

Materials and structures - 2026

Acoustics

Online construction of reliable hybrid-AI models from deviation data and physics-based information

A hybrid twin is a physics-based simulation model continuously informed by measurements from sensors probing the real system. It relies on learning what the model fails to capture, namely the bias inherited from simplifying assumptions and…

Stiven Briand God Massala Moussounda

Mechanics of materials

Fracture toughness of fretting obtained TTS in Ti-6Al-4V by in situ notched beam test

Fretting wear is surface degradation caused by reciprocating contact slipping. During gross slip, high surface stress can lead to plastic deformation and the creation of a nanosized grained structure called Tribologically Transformed Structure (TTS)…

Vivien Lefranc, Camille Gandiolle, Eva Héripré, Siegfried Fouvry, Véronique Aubin

Tribology International - 2026

Civil Engineering

Generative model to improve the physical simulation of normalized seismic acceleration

Earthquake physics-based simulations have revealed their accuracy limit in high-fidelity broadband strong ground motion scenario prediction. Earlier attempts leveraging AI tried to fill the gap between the low-frequency high-fidelity numerical…

Gottfried Jacquet, Filippo Gatti, Didier Clouteau

Seismica - 2026

Engineering Sciences

A Data-Driven Tube Model Predictive Control Framework with Recursive Feasibility and Stability Guarantees

The use of deep neural networks as fast approximators of optimal control laws is explored in nonlinear Model Predictive Control, primarily for their ability to reduce online computational complexity. Despite their practical advantages, integrating…

Sivalingam Mahalingam, Ludovic Chamoin

17th World Congress on Computational Mechanics (WCCM 2026) - 2026

Engineering Sciences