FE-LSTM: A hybrid approach to accelerate multiscale simulations of architectured materials using Recurrent Neural Networks and Finite Element Analysis-Reference-Cited by-同舟云学术

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FE-LSTM: A hybrid approach to accelerate multiscale simulations of architectured materials using Recurrent Neural Networks and Finite Element Analysis

Published:2024-09 Issue: Volume:429 Page:117192
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:

Danoun Aymen,Prulière Etienne^ORCID,Chemisky Yves^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. Architected implant designs for long bones: Advantages of minimal surface-based topologies;Hsieh;Mater. Des.,2021

2. Multiscale FE2 elastoviscoplastic analysis of composite structures;Feyel;Comput. Mater. Sci.,1999

3. 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

4. Three-dimensional FE2 method for the simulation of non-linear, rate-dependent response of composite structures;Tikarrouchine;Compos. Struct.,2018

5. Fully coupled thermo-viscoplastic analysis of composite structures by means of multi-scale three-dimensional finite element computations;Tikarrouchine;Int. J. Solids Struct.,2019

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