Microstructure-guided deep material network for rapid nonlinear material modeling and uncertainty quantification-Reference-Cited by-同舟云学术

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Microstructure-guided deep material network for rapid nonlinear material modeling and uncertainty quantification

Published:2022-08 Issue: Volume:398 Page:115197
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:

Huang Tianyu,Liu Zeliang,Wu C.T.,Chen Wei^ORCID

Funder

Center for Hierarchical Materials Design

National Institute of Standards and Technology

Air Force Office of Scientific Research

Publisher

Elsevier BV

Subject

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

Reference39 articles.

1. The Halpin–Tsai equations: A review;Affdl;Polym. Eng. Sci.,1976

2. Average stress in matrix and average elastic energy of materials with misfitting inclusions;Mori;Acta Metall.,1973

3. Multiscale finite element modeling of sheet molding compound (SMC) composite structure based on stochastic mesostructure reconstruction;Chen;Compos. Struct.,2018

4. ICME based hierarchical design using composite materials for automotive structures;Shaik,2017

5. Process integration and optimization of ICME carbon fiber composites for vehicle lightweighting: A preliminary development;Xu;SAE Int. J. Mater. Manuf.,2017

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