研究论文

Deep learning approach for predicting multi-component stress fields in fiber-reinforced composites under different load paths

Xiang Hua Peng, Qiuze Yao, Bing Yi, Jun Xie, Jiquan Li, Shaofei Jiang

Zhejiang University of Technology　Central South University

来源Composites Science and Technology

年份2025

DOI10.1016/j.compscitech.2025.111198

原文https://doi.org/10.1016/j.compscitech.2025.111198

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Composite Material Mechanics

Mechanical Behavior of Composites · Machine Learning in Materials Science

参考文献 41

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Lei Ba · arXiv (Cornell University) · 2014

被引 82,585

An analytical model for elastic stress field distribution in fibre composite with partially debonded interface

Zhonghao Jiang, Xianli Liu, Hanzhuo Zhang · Composites Science and Technology · 2005

被引 20

A virtual framework for prediction of full-field elastic response of unidirectional composites

Michael I. Okereke, Ambrose I. Akpoyomare · Computational Materials Science · 2013

被引 105

此处列出前 3 条

引用本文 40

Deep learning surrogate for phase field modeling in fiber-reinforced composites: From stress evolution to final crack path

Peng Zhang, Yujie Xiang, Keke Tang · Computer Methods in Applied Mechanics and Engineering · 2025

被引 33

A bioinspired multimodal nociceptive system enabling graded pressure–damage pain perception for adaptive robotic interaction

Shihan Wang, Weifei Cai, Yulu Wu · Chemical Engineering Journal · 2026

被引 11

Machine learning for mechanical design of composite materials and composite structures

Wenwang Wu, Kang Xu, Jian Zhao · MechanoEngineering · 2026

被引 8

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