Multi deep learning-based stochastic microstructure reconstruction and high-fidelity micromechanics simulation of time-dependent ceramic matrix composite response-Reference-Cited by-同舟云学术

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Multi deep learning-based stochastic microstructure reconstruction and high-fidelity micromechanics simulation of time-dependent ceramic matrix composite response

Published:2024-10 Issue: Volume:345 Page:118360
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Hamza Mohamed H.,Chattopadhyay A.

Funder

National Energy Technology Laboratory

Army Research Office

Publisher

Elsevier BV

Reference59 articles.

1. Multiscale model of woven ceramic matrix composites considering manufacturing induced damage;Borkowski;Compos Struct,2015

2. Multiscale temperature-dependent ceramic matrix composite damage model with thermal residual stresses and manufacturing-induced damage;Skinner;Compos Struct,2021

3. Efficient Multiscale Modeling Framework for Triaxially Braided Composites using Generalized Method of Cells;Liu;J Aerosp Eng,2011

4. Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques;Bostanabad;Prog Mater Sci,2018

5. Microstructure reconstructions from 2-point statistics using phase-recovery algorithms;Fullwood;Acta Mater,2008

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