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Data-driven elasto-(visco)-plasticity involving hidden state variables

  • Published:2022-12 Issue: Volume:402 Page:115394
  • ISSN:0045-7825
  • Container-title:Computer Methods in Applied Mechanics and Engineering
  • language:en
  • Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Gerbaud Paul-William,Néron David,Ladevèze Pierre

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference31 articles.

1. Data-driven computational mechanics;Kirchdoerfer;Comput. Methods Appl. Mech. Engrg.,2016

2. Data-driven non-linear elasticity: constitutive manifold construction and problem discretization;Ibañez;Comput. Mech.,2017

3. Data driven computing with noisy material data sets;Kirchdoerfer;Comput. Methods Appl. Mech. Engrg.,2017

4. Data-driven computational plasticity;Chinesta;Procedia Eng.,2017

5. Data-driven computation for history-dependent materials;Ladevèze;C. R. Méc.,2019

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1. A framework for neural network based constitutive modelling of inelastic materials;Computer Methods in Applied Mechanics and Engineering;2024-02

2. Data‐driven model‐free modified nodal analysis circuit solver;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-01-10

3. A comparative study on different neural network architectures to model inelasticity;International Journal for Numerical Methods in Engineering;2023-07-18
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