Machine learning based modeling of path-dependent materials for finite element analysis

Author:

He Yangzi,Semnani Shabnam J.

Publisher

Elsevier BV

Subject

Computer Science Applications,Geotechnical Engineering and Engineering Geology

Reference57 articles.

1. Deep learning for plasticity and thermo-viscoplasticity;Abueidda;Int. J. Plast.,2021

2. Application of artificial neural networks in micromechanics for polycrystalline metals;Ali;Int. J. Plast.,2019

3. A mechanics-informed artificial neural network approach in data-driven constitutive modeling;As’ad;Internat. J. Numer. Methods Engrg.,2022

4. Manifold embedding data-driven mechanics;Bahmani;Journal of the Mechanics and Physics of Solids,2022

5. Implementation of a neural network into a user-material subroutine for finite element simulation of material viscoplasticity;Benabou;J. Eng. Mater. Technol.,2021

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