0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Deep learning-based bridge damage identification approach inspired by internal force redistribution effects

Author(s): (School of Civil Engineering, Southeast University, Nanjing, China)
ORCID (School of Civil Engineering, Southeast University, Nanjing, China)
(School of Civil Engineering, Southeast University, Nanjing, China)
(School of Civil Engineering, Southeast University, Nanjing, China)
(Department of Civil Engineering, Faculty of Applied Science, The University of British Columbia, Vancouver, BC, Canada)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 2, v. 23
Page(s): 147592172311760
DOI: 10.1177/14759217231176050
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: 10.1177/14759217231176050.
  • About this
    data sheet
  • Reference-ID
    10730070
  • Published on:
    30/05/2023
  • Last updated on:
    15/03/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine