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Stress–strain-based crack damage detection of composite structures using selective kernel convolutional networks and continuous wavelet transform

Author(s): (School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China)
ORCID (School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China)
ORCID (School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, China)
(School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan, China)
(School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 22
Page(s): 147592172211344
DOI: 10.1177/14759217221134452
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217221134452.
  • About this
    data sheet
  • Reference-ID
    10702185
  • Published on:
    16/12/2022
  • Last updated on:
    21/06/2023
 
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