421 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nantes UniversitéFR47 papers
- École Centrale de NantesFR37 papers
- Centre National de la Recherche ScientifiqueFR33 papers
- California Institute of TechnologyUS6 papers
- Université de NantesFR6 papers
- Laboratoire de Mathématiques Jean LerayFR5 papers
- Institut Universitaire de FranceFR4 papers
- IRT Jules VerneFR4 papers
- Global Engineering and Materials (United States)US3 papers
- RWTH Aachen UniversityDE3 papers
- Université Nantes Angers Le MansFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
52 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…
miniBLAST: a novel experimental setup for laboratory testing of structures under blast loads
Ahmad Morsel, Filippo Masi, Emmanuel Marché +3
We present a novel experimental setup called miniBLAST, which enables systematic and repeatable laboratory tests of structures subjected to blast loads. The explosive source is bas…
Sparse approximations for contact mechanics
Kiran Sagar Kollepara, José V. Aguado, Yves Le Guennec +2
Low-rank model order reduction strategies for contact mechanics show limited dimensionality reduction due to linear inseparability of contact pressure field. Therefore, a dictionar…
Path differences between quasistatic and fatigue cracks in anisotropic media
Xinyuan Zhai, Thomas Corre, Ataollah Mesgarnejad +2
The propagation path of quasistatic cracks under monotonic loading is known to be strongly influenced by the anisotropy of the fracture energy in crystalline solids or engineered m…
Data-driven micromorphic mechanics for materials with strain localization
Jacinto Ulloa, Laurent Stainier, Michael Ortiz +1
This paper explores the role of generalized continuum mechanics, and the feasibility of model-free data-driven computing approaches thereof, in solids undergoing failure by strain…
Insights of using Control Theory for minimizing Induced Seismicity in Underground Reservoirs
Diego Gutierrez-Oribio, Ioannis Stefanou
Deep Geothermal Energy, Carbon Capture, and Storage and Hydrogen Storage have significant potential to meet the large-scale needs of the energy sector and reduce the CO emissio…
A two-scale solver for linear elasticity problems in the context of parallel message passing
Alexis Salzman, Nicolas Moës
This paper pushes further the intrinsic capabilities of the GFEM global-local approach introduced initially in [1]. We develop a distributed computing approach using MPI (Me…
Evolution TANN and the identification of internal variables and evolution equations in solid mechanics
Filippo Masi, Ioannis Stefanou
Data-driven and deep learning approaches have demonstrated to have the potential of replacing classical constitutive models for complex materials. Yet, the necessity of structuring…
Passivity-based control of underactuated mechanical systems with Coulomb friction: Application to earthquake prevention
Diego Gutierrez-Oribio, Ioannis Stefanou, Franck Plestan
Passivity property gives a sense of energy balance. The classical definitions and theorems of passivity in dynamical systems require time invariance and locally Lipschitz functions…
Earthquake Control: An Emerging Application for Robust Control. Theory and Experimental Tests
Diego Gutiérrez-Oribio, Georgios Tzortzopoulos, Ioannis Stefanou +1
This paper addresses the possibility of using robust control theory for preventing earthquakes through fluid injections in the earth's crust. The designed robust controllers drive…
Lipschitz regularization for fracture: the Lip-field approach
N. Chevaugeon, N. Moes
The Lip-field approach is a new regularization method for softening material material models. It was presented first in a previous paper providing one-dimensional simulations for d…
Analysis and visualization of traceless symmetric tensors. Application to the Hencky strain tensor for large strain tension-torsion
Etienne Le Mire, Erwan Verron, Bertrand Huneau +1
Cyclic multiaxial loadings of soft materials are usually studied throughout experiments involving machines that prescribe a combination of uniaxial tension and torsion. Due to the…
The eXtreme Mesh deformation approach (X-MESH) for the Stefan phase-change model
Nicolas Moes, Jean-Francois Remacle, Jonathan Lambrechts +2
The eXtreme Mesh deformation approach (X-MESH) is a new paradigm to follow sharp interfaces without remeshing and without changing the mesh topology. Even though the mesh does not…
Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks
John M. Hanna, Jose V. Aguado, Sebastien Comas-Cardona +2
This paper aims to provide a machine learning framework to simulate two-phase flow in porous media. The proposed algorithm is based on Physics-informed neural networks (PINN). A no…
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
Filippo Masi, Ioannis Stefanou
The mechanical behavior of inelastic materials with microstructure is very complex and hard to grasp with heuristic, empirical constitutive models. For this purpose, multiscale, ho…
Lipschitz regularization for softening material models: the Lip-field approach
Nicolas Moes, Nicolas Chevaugeon
Softening material models are known to trigger spurious localizations.This may be shown theoretically by the existence of solutions with zero dissipation when localization occurs a…
The role of viscous regularization in dynamical problems, strain localization and mesh dependency
Alexandros Stathas, Ioannis Stefanou
Strain localization is responsible for mesh dependence in numerical analyses concerning a vast variety of fields such as solid mechanics, dynamics, biomechanics and geomechanics. T…
Scaling laws for the rigid-body response of masonry structures under blast loads
Filippo Masi, Ioannis Stefanou, Victor Maffi-Berthier
The response of masonry structures to explosions can be hardly investigated relying only on numerical and analytical tools. Experimental tests are of paramount importance for impro…
Efficient Data Structures for Model-free Data-Driven Computational Mechanics
Robert Eggersmann, Laurent Stainier, Michael Ortiz +1
The data-driven computing paradigm initially introduced by Kirchdoerfer and Ortiz (2016) enables finite element computations in solid mechanics to be performed directly from materi…