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

Advertisement

A novel procedure for cable damage identification of cable-stayed bridge using particle swarm optimization and machine learning

Author(s): ORCID (Department of Civil and Environmental Engineering, Sejong University, Gwangjin-gu, Seoul, South Korea)
(Department of Civil and Environmental Engineering, Sejong University, Gwangjin-gu, Seoul, South Korea)
(Department of Civil and Environmental Engineering, Sejong University, Gwangjin-gu, Seoul, South Korea)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241246501
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: 10.1177/14759217241246501.
  • About this
    data sheet
  • Reference-ID
    10775645
  • Published on:
    29/04/2024
  • Last updated on:
    29/04/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine