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

Advertisement

Multi-objective optimisation of in-service asphalt pavement maintenance schedule considering system reliability estimated via LSTM neural networks

Author(s): ORCID (Department of Civil and Environmental Engineering, Waseda University, Tokyo, Japan)
ORCID (Department of Civil and Environmental Engineering, Waseda University, Tokyo, Japan)
ORCID (Department of Civil and Environmental Engineering, Engineering Research Center for Advanced Technology for Large Structural Systems (ATLSS Center), Lehigh University, Bethlehem, PA, USA)
ORCID (Department of Bridge Engineering, Tongji University, Shanghai, China)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering, , n. 7, v. 18
Page(s): 1-18
DOI: 10.1080/15732479.2022.2038641
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: 10.1080/15732479.2022.2038641.
  • About this
    data sheet
  • Reference-ID
    10660153
  • Published on:
    28/03/2022
  • Last updated on:
    16/06/2022
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine