Cited by 102Mechanical Behavior of CompositesComposite Structure Analysis and OptimizationMachine Learning in Materials Science

Mechanical properties prediction of composite laminate with FEA and machine learning coupled method

Zhang, Chen, Li, Yushu, Jiang, Biao, Wang, Ruigang, Liu, Yilun, Jia, Liyong·2022·Composite Structures

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Crossref · 10.1016/j.compstruct.2022.116086

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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Authors
Zhang, C., Li, Y., Jiang, B., Wang, R., Liu, Y., & Jia, L.
Affiliations
  • Aviation Industry Corporation of China (China) (CN)
  • Xi'an Jiaotong University (CN)
Corresponding author
  • Liu, Yilun
  • Jia, Liyong
Venue
Composite Structures
Publisher
Elsevier BV
Published
2022-11
Volume
299
Pages
116086
ISSN
0263-8223 (ISSN-L)
OpenAlex
W4291156125
Cited by
102
References
34
Citations by year
2026: 19 · 2025: 35 · 2024: 30 · 2023: 18
FWCI
9.15
Type
journal article
Language
en
Open access
closed
Locations
Composite Structures (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanics of Materials › Mechanical Behavior of Composites
  • Physical Sciences › Engineering › Mechanics of Materials › Composite Structure Analysis and Optimization
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
Keywords
composite laminates, mechanical property prediction, Puck failure criterion, artificial neural networks, random forest, finite element analysis, ABAQUS scripting

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