177 citations
- Nantes UniversitéFR25 papers
- École Centrale de NantesFR21 papers
- Centre National de la Recherche ScientifiqueFR20 papers
- Institut Universitaire de FranceFR4 papers
- IRT Jules VerneFR4 papers
- California Institute of TechnologyUS3 papers
- Global Engineering and Materials (United States)US3 papers
- Laboratoire des Sciences du Numérique de NantesFR2 papers
- Académie de ParisFR1 paper
- Académie des sciencesFR1 paper
- Aix-Marseille UniversitéFR1 paper
- Centre de Recherche en Nutrition Humaine d'AuvergneFR1 paper
30 papers
Data-driven material identification in micromorphic continua
Jacinto Ulloa, Laurent Stainier
We introduce a data-driven framework for identifying material behavior from full-field kinematics and external force measurements in generalized (micromorphic) continua. The aim is…
Assessment of Hybrid RANS-LES and WALE Formulations for Wake and Resistance Prediction of the BB2 Submarine
Noh Zainal Abidin, Frederic Grondin, Pol Muller +1
Submarine hydrodynamics presents unique challenges in accurately predicting flow separation, wake structure, and resistance due to complex geometry and turbulent behaviour at high…
Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks
Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot +2
In this work, we explore the integration of Sequence Encoding for Online Parameter Identification with Physics-Informed Neural Networks to create a model that, once trained, can be…
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
Mouad Elaarabi, Domenico Borzacchiello, Yves Le Guennec +2
The promising outcomes of dynamical system identification techniques, such as SINDy [Brunton et al. 2016], highlight their advantages in providing qualitative interpretability and…
A damage mechanics model for quasi brittle materials based on the structured deformation theory
M. L. M. François
The structured deformation theory is used within the thermodynamics of irreversible processes framework in order to build a damage model relevant for quasi-brittle materials. The c…
Data-driven methods for computational mechanics: A fair comparison between neural networks based and model-free approaches
Martin Zlatić, Felipe Rocha, Laurent Stainier +1
We present a comparison between two approaches to modelling hyperelastic material behaviour using data. The first approach is a novel approach based on Data-driven Computational Me…