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A new predictive model for restrained distortional buckling strength of half-through bridge girders using artificial neural network

Author(s):

Medium: journal article
Language(s): English
Published in: KSCE Journal of Civil Engineering, , n. 4, v. 20
Page(s): 1392-1403
DOI: 10.1007/s12205-015-0176-8
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: 10.1007/s12205-015-0176-8.
  • About this
    data sheet
  • Reference-ID
    10172605
  • Published on:
    10/12/2018
  • Last updated on:
    10/12/2018
 
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