Computational Structural Mechanics Association

Collections HAL

Le CSMA gère deux collections HAL qui regroupent:


Publications AMSES



280 documents

  • Naoto Mitsume. Compatible interface wave–structure interaction model for combining mesh-free particle and finite element methods. Advanced Modeling and Simulation in Engineering Sciences, 2023, Recent Advances in hypercomplex disaster simulations, 10 (1), pp.1-31. ⟨10.1186/s40323-023-00248-w⟩. ⟨hal-04456067⟩
  • Ana C. Ordonez, Nicolas Tardieu, Carola Kruse, Daniel Ruiz, Sylvie Granet. Scalable block preconditioners for saturated thermo-hydro-mechanics problems. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-31. ⟨10.1186/s40323-023-00245-z⟩. ⟨hal-04513963⟩
  • Yi Zhang, Lars Mikelsons. Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-28. ⟨10.1186/s40323-023-00246-y⟩. ⟨hal-04513964⟩
  • Hannes Fröck, Matthias Graser, Michael Reich, Michael Lechner, Marion Merklein, et al.. Numerical modelling of the process chain for aluminium Tailored Heat-Treated Profiles. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-18. ⟨10.1186/s40323-023-00247-x⟩. ⟨hal-04513965⟩
  • Azzedine Abdedou, Azzeddine Soulaimani. Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-27. ⟨10.1186/s40323-023-00244-0⟩. ⟨hal-04513966⟩
  • Rishith E. Meethal, Anoop Kodakkal, Mohamed Khalil, Aditya Ghantasala, Birgit Obst, et al.. Finite element method-enhanced neural network for forward and inverse problems. Advanced Modeling and Simulation in Engineering Sciences, 2023, Physics-Informed and Scientific Machine Learning, 10 (1), pp.1-23. ⟨10.1186/s40323-023-00243-1⟩. ⟨hal-04458281⟩
  • Saddam Hijazi, Melina Freitag, Niels Landwehr. POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-38. ⟨10.1186/s40323-023-00242-2⟩. ⟨hal-04513967⟩
  • Abel Sancarlos, Victor Champaney, Elias Cueto, Francisco Chinesta. Regularized regressions for parametric models based on separated representations. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10, pp.1-26. ⟨10.1186/s40323-023-00240-4⟩. ⟨hal-04163203⟩
  • Farouk Maaboudallah, Noureddine Atalla. A “data-driven uncertainty” computational method to model and predict instabilities of a frictional system. Advanced Modeling and Simulation in Engineering Sciences, 2023, 10 (1), pp.1-30. ⟨10.1186/s40323-023-00241-3⟩. ⟨hal-04513968⟩
  • Mao Kurumatani, Takumi Kato, Hiromu Sasaki. Damage model for simulating cohesive fracture behavior of multi-phase composite materials. Advanced Modeling and Simulation in Engineering Sciences, 2023, Recent Advances in hypercomplex disaster simulations, 10 (1), pp.1-17. ⟨10.1186/s40323-022-00238-4⟩. ⟨hal-04456069⟩

Publications CSMA (Giens)



2441 documents

  • Victor Matray, Faisal Amlani, Frédéric Feyel, David Néron. Pré-dimensionnement de structures aéronautiques : une nouvelle perspective grâce à la combinaison de la réduction de modèles et de l'apprentissage profond sur graphes. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04611015⟩
  • Eric Lequiniou. Présentation Altair Radioss & OpenRadioss. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04823175⟩
  • Donald Zeka, Pierre-Alain Guidault, David Néron, Martin Guiton. On the benefits of a multiscale strategy to model-order reduction for frictional contact problems. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04611009⟩
  • Floriane Wurtzer, Pierre-Alain Boucard, Pierre Ladevèze, David Néron. Une approche modulaire basée sur la PGD pour la résolution de problèmes multiphysiques fortement couplés. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04585661⟩
  • Gérald Feugueur, Lionel Gelebart, Corrado Maurini, Sandrine Miro. Nucléation de fissures au sein de matériaux hétérogènes à inclusions gonflantes par des approches de type champ de phase. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04823005⟩
  • Antoine Roussel, Ludovic Chamoin, Jean-Philippe Argaud, Pierre Bousseau. Modified Constitutive Relation Error for multi-physics wind turbine calibration. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04431961⟩
  • Théodore Gauthier, Christophe Bovet, Pierre Gosselet. Préconditionneurs exploitant les blocs de rang faible pour les méthodes de décomposition de domaine primales. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04611016⟩
  • Françoise Fauvin, Julien Vermorel, Eric Feulvarch, Philippe Bocher. Développement d'une méthode d'analyse numérique en fatigue autour d'un pore tueur sur des éprouvettes en Titane Ti 6Al 4V issues de la fabrication additive.. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04822952⟩
  • Ali Boukham, Frédéric Dubois, Thomas Parent, Jean-Christophe Mindeguia, Stephane Morel. Modèle de zones cohésives pour les maçonneries. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04822997⟩
  • Liwaa Abou Chakra, Bertrand Lallemand, Franck Massa, Thomas Henneron, Stephane Clenet. Développement de modèles réduits paramétrés magnéto-vibro acoustiques : Application à l'optimisation du comportement de moteurs électriques. 16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France. ⟨hal-04822953⟩