Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network

Author:

Ghavamian F.ORCID,Simone A.

Funder

European Research Council

ERC

Publisher

Elsevier BV

Subject

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

Reference38 articles.

1. A multilevel finite element method (FE2) to describe the response of highly non-linear structures using generalized continua;Feyel;Comput. Methods Appl. Mech. Engrg.,2003

2. Recurrent Neural Networks: Design and Applications;Jain,1999

3. Training Recurrent Neural Networks;Sutskever,2013

4. Z.C. Lipton, J. Berkowitz, C. Elkan, A critical review of recurrent neural networks for sequence learning. arXiv e-prints, art. arXiv:1506.00019, 2015. URL http://arxiv.org/abs/1506.00019v4.

5. Multiscale methodology for bone remodelling simulation using coupled finite element and neural network computation;Hambli;Biomech. Model. Mechanobiol.,2011

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