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

Advertisement

Post-blast capacity evaluation of concrete-filled steel tubular (CFST) column based on machine learning technique

Author(s): (Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin Chengjian University, Tianjin, China)
(School of Civil Engineering, Tianjin Chengjian University, Tianjin, China)
(China Water Resources Beifang Investigation, Design and Research Co, LTD, Tianjin, China)
ORCID (Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin Chengjian University, Tianjin, China)
ORCID (Key Laboratory of Coast Civil Structure Safety of Ministry of Education, Tianjin University, Tianjin, China)
(Tianjin Municipal Engineering Design and Research Institute, Tianjin, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 11, v. 26
Page(s): 1953-1972
DOI: 10.1177/13694332231179268
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: 10.1177/13694332231179268.
  • About this
    data sheet
  • Reference-ID
    10731300
  • Published on:
    04/08/2023
  • Last updated on:
    04/08/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine