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

Advertisement

Failure-mode–independent prediction model for the peak strength of reinforced concrete columns using Bayesian neural network: A probabilistic approach

Author(s): ORCID (College of Civil Engineering, Tongji University, Shanghai, China)
(School of Civil Engineering, Harbin Institute of Technology, Harbin, China)
(Ministry-of-Education Key Lab of Structures Dynamic Behavior and Control, School of Civil Engineering, Harbin Institute of Technology, Harbin, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 9, v. 25
Page(s): 136943322210811
DOI: 10.1177/13694332221081187
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: 10.1177/13694332221081187.
  • About this
    data sheet
  • Reference-ID
    10663311
  • Published on:
    09/05/2022
  • Last updated on:
    13/08/2022
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine