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

Advertisement

An efficient method for predicting wheel-rail forces in coupled nonlinear train-track-bridge system using artificial neural networks

Author(s): (School of Civil Engineering, Changsha University of Science & Technology, Changsha, China)
ORCID (School of Civil Engineering, Changsha University of Science & Technology, Changsha, China)
ORCID (School of Civil Engineering, Changsha University of Science & Technology, Changsha, China)
(School of Civil Engineering, Southwest Jiaotong University, Chengdu, China)
(School of Civil Engineering, Changsha University of Science & Technology, Changsha, China)
(School of Civil Engineering, Changsha University of Science & Technology, Changsha, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 7, v. 26
Page(s): 136943322311569
DOI: 10.1177/13694332231156989
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: 10.1177/13694332231156989.
  • About this
    data sheet
  • Reference-ID
    10708892
  • Published on:
    21/03/2023
  • Last updated on:
    30/05/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine