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

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Year: 2025
Type: article
Source: Composites Science and Technology
DOI: 10.1016/j.compscitech.2025.111198
Authors: Xiang Peng, Qiuze Yao, Bing Yi, Jun Xie, Jiquan Li, Shaofei Jiang
Institutions: Zhejiang University of Technology, Central South University
Language: English

Topic: Composite Material Mechanics
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province, Fundamental Research Funds for the Provincial Universities of Zhejiang
Awards: G2202041233, G5382180611, 重大/特种装备全生命周期智慧运维云平台构建方法及关键技术研究, G996697017
OpenAlex ID: W4409534170
FWCI: 12.88
Cites: 39
Cited by: 40
Related to: 10
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