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

Advertisement

Machine learning‐based prediction of the seismic response of fault‐crossing natural gas pipelines

Author(s): (Texas Advanced Computing Center University of Texas at Austin Austin Texas USA)
(DNV GL Dublin Ohio USA)
(D.G. Honegger Consulting Arroyo Grande California USA)
(University of California Los Angeles Los Angeles California USA)
ORCID (University of California Los Angeles Los Angeles California USA)
Medium: journal article
Language(s): English
Published in: Earthquake Engineering and Structural Dynamics, , n. 11, v. 52
Page(s): 3238-3255
DOI: 10.1002/eqe.3945
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: 10.1002/eqe.3945.
  • About this
    data sheet
  • Reference-ID
    10731291
  • Published on:
    04/08/2023
  • Last updated on:
    02/09/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine