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Multicategory damage detection and safety assessment of post‐earthquake reinforced concrete structures using deep learning

Author(s): (School of Civil and Environmental Engineering Harbin Institute of Technology Shenzhen P. R. China)
(School of Civil and Environmental Engineering Harbin Institute of Technology Shenzhen P. R. China)
(School of Civil and Environmental Engineering Harbin Institute of Technology Shenzhen P. R. China)
(School of Civil and Environmental Engineering Harbin Institute of Technology Shenzhen P. R. China)
(School of Civil and Environmental Engineering Harbin Institute of Technology Shenzhen P. R. China)
(Center for Green Development Research, China Construction Science & Technology Group Co., Ltd. Shenzhen P. R. China)
(Center for Green Development Research, China Construction Science & Technology Group Co., Ltd. Shenzhen P. R. China)
(Center for Green Development Research, China Construction Science & Technology Group Co., Ltd. Shenzhen P. R. China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 9, v. 37
Page(s): 1188-1204
DOI: 10.1111/mice.12815
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: 10.1111/mice.12815.
  • About this
    data sheet
  • Reference-ID
    10656720
  • Published on:
    17/02/2022
  • Last updated on:
    13/08/2022
 
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