End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures-Reference-Cited by-同舟云学术

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End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures

Published:2021-09 Issue: Volume:154 Page:104506
ISSN:0022-5096
Container-title:Journal of the Mechanics and Physics of Solids
language:en
Short-container-title:Journal of the Mechanics and Physics of Solids

Author:

Yang Zhenze,Yu Chi-Hua,Guo Kai,Buehler Markus J.

Funder

ONR

Air Force Office of Scientific Research

US Army Research Office

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics

Reference41 articles.

1. Continuum Mechanics of Solids, Oxford Graduate Texts;Anand,2020

2. Structure and mechanics of interfaces in biological materials;Barthelat;Nat. Rev. Mater.,2016

3. Dynamical fracture instabilities due to local hyperelasticity at crack tips;Buehler;Nature,2006

4. Ceramic matrix composites;Chawla,2013

5. Composite materials: science and engineering;Chawla,2012

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