Computational Structural Mechanics Association

Collections HAL

Le CSMA gère deux collections HAL qui regroupent:

Publications AMSES


280 documents

  • Yinghan Wu, Kaixuan Shao, Francesco Piccialli, Gang Mei. Numerical modeling of the propagation process of landslide surge using physics-informed deep learning. Advanced Modeling and Simulation in Engineering Sciences, 2022, Physics-Informed and Scientific Machine Learning, 9 (1), pp.1-15. ⟨10.1186/s40323-022-00228-6⟩. ⟨hal-04456076⟩
  • Terrin Stachiw, Alexander Crain, Joseph Ricciardi. A physics-based neural network for flight dynamics modelling and simulation. Advanced Modeling and Simulation in Engineering Sciences, 2022, Physics-Informed and Scientific Machine Learning, 9 (1), pp.1-20. ⟨10.1186/s40323-022-00227-7⟩. ⟨hal-04456077⟩
  • Valerie A. Martin, Reuben H. Kraft, Thomas H. Hannah, Stephen Ellis. An energy-based study of the embedded element method for explicit dynamics. Advanced Modeling and Simulation in Engineering Sciences, 2022, 9 (1), pp.1-18. ⟨10.1186/s40323-022-00223-x⟩. ⟨hal-04513972⟩
  • E. Rajasekhar Nicodemus. A methodology to assess and improve the physics consistency of an artificial neural network regression model for engineering applications. Advanced Modeling and Simulation in Engineering Sciences, 2022, Physics-Informed and Scientific Machine Learning, 9 (1), pp.1-29. ⟨10.1186/s40323-022-00224-w⟩. ⟨hal-04456078⟩
  • Sebastián Cedillo, Ana Gabriela Núñez, Esteban Sánchez-Cordero, Luis Timbe, Esteban Samaniego, et al.. Physics-Informed Neural Network water surface predictability for 1D steady-state open channel cases with different flow types and complex bed profile shapes. Advanced Modeling and Simulation in Engineering Sciences, 2022, Physics-Informed and Scientific Machine Learning, 9 (1), pp.1-23. ⟨10.1186/s40323-022-00226-8⟩. ⟨hal-04458286⟩
  • Nora Hagmeyer, Matthias Mayr, Ivo Steinbrecher, Alexander Popp. One-way coupled fluid–beam interaction: capturing the effect of embedded slender bodies on global fluid flow and vice versa. Advanced Modeling and Simulation in Engineering Sciences, 2022, 9 (1), pp.1-30. ⟨10.1186/s40323-022-00222-y⟩. ⟨hal-04513974⟩
  • Jan Oldenburg, Finja Borowski, Alper Öner, Klaus Peter Schmitz, Michael Stiehm. Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN). Advanced Modeling and Simulation in Engineering Sciences, 2022, 9 (1), pp.1-15. ⟨10.1186/s40323-022-00221-z⟩. ⟨hal-04513973⟩
  • Harald Willmann, Wolfgang A. Wall. Inverse analysis of material parameters in coupled multi-physics biofilm models. Advanced Modeling and Simulation in Engineering Sciences, 2022, 9 (1), pp.1-32. ⟨10.1186/s40323-022-00220-0⟩. ⟨hal-04513976⟩
  • Fabio Giampaolo, Mariapia de Rosa, Pian Qi, Stefano Izzo, Salvatore Cuomo. Physics-informed neural networks approach for 1D and 2D Gray-Scott systems. Advanced Modeling and Simulation in Engineering Sciences, 2022, Physics-Informed and Scientific Machine Learning Francesco Piccialli, 9 (1), pp.1-17. ⟨10.1186/s40323-022-00219-7⟩. ⟨hal-04456081⟩
  • Hanane Khatouri, Tariq Benamara, Piotr Breitkopf, Jean Demange. Metamodeling techniques for CPU-intensive simulation-based design optimization: a survey. Advanced Modeling and Simulation in Engineering Sciences, 2022, Efficient strategies for surrogate-based optimization including multifidelity and reduced-order models, 9 (1), pp.1-31. ⟨10.1186/s40323-022-00214-y⟩. ⟨hal-04458288⟩

Documents récupérés de l'archive ouverte HAL logo

Publications CSMA (Giens)


2438 documents

  • Arnaud Duval, Thomas Elguedj. YETI – Nouvelles fonctionnalités d'optimisation de forme en IGA. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04611069⟩
  • Abbas Kabalan, Fabien Casenave, Felipe Bordeu, Virginie Ehrlacher, Alexandre Ern. Morphing techniques for model order reduction with non parametric geometrical variabilities. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04611002⟩
  • Martin Genet, Mahdi Manoochehr Tayebi, Aline Bel Brunon. Un modèle micro-poro-mécanique du parenchyme pulmonaire. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04611056⟩
  • Evgeniia Lapina, Paul Oumaziz, Robin Bouclier. Méthode Latin isogéométrique immergée pour le calcul d'interfaces non-linéaires. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04581031⟩
  • Jean-Charles Passieux, Robin Bouclier, Oliver Weeger. Construction de modèles IsoGéométriques de lattices à section variables basées sur des images. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04611898⟩
  • Dorian Bichet, Robin Bouclier, Jean-Charles Passieux, Jean-Noël Périé. Construction d’un modèle B-spline volumique multipatch de structures lattices à partir d’une image 3D. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04611872⟩
  • Etienne Pruliere, Yves Chemisky. 3MAH : un ensemble de librairies pour analyser le comportement complexe de matériaux hétérogènes. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04610878⟩
  • Michel Henry, Stéphane Dorbolo, Frédéric Dubois, Jonathan Lambrechts, Vincent Legat. La modélisation du tranfert de chaleur dans les écoulements granulaires immergés par une approche multi-échelle. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04822992⟩
  • Stefania Lo Feudo, Jean-Luc Dion, Franck Renaud, Gaëtan Kerschen, Jean-Philippe Noël. Identification modale d'une poutre non linéaire par analyse vidéo et filtrage de Kalman étendu. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04822987⟩
  • Juan-Pedro Berro Ramirez, Hossein Shakourzadeh. Impact de l'intelligence Artificielle dans la CAE. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04822988⟩

Documents récupérés de l'archive ouverte HAL logo