Flaw classification and detection in thin‐plate structures based on scaled boundary finite element method and deep learning-Reference-Cited by-同舟云学术

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Flaw classification and detection in thin‐plate structures based on scaled boundary finite element method and deep learning

Published:2022-06-20 Issue:19 Volume:123 Page:4674-4701
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Numerical Meth Engineering

Author:

Jiang Shouyan¹^ORCID,Wan Chen¹,Sun Liguo¹,Du Chengbin¹

Affiliation:

1. College of Mechanics and Materials Hohai University Nanjing China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.7051

Reference57 articles.

1. Behavior of thin gusset plates in compression

2. Novel thin plate element theory based on a continuity re-relaxed technique

3. Fatigue strength of laser-welded thin-plate ship structures based on nominal and structural hot-spot stress approach

4. Boundary element modelling of ultrasonic Lamb waves for structural health monitoring

5. Self-powered piezo-floating-gate sensors for health monitoring of steel plates

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