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Machine learning approach to the safety assessment of a prestressed concrete railway bridge

Author(s): ORCID (Department of Structural Geotechnical and Building Engineering, Politecnico di Torino, Torino, Italy)
(LINKS Foundation, Torino, Italy)
ORCID (Department of Structural Geotechnical and Building Engineering, Politecnico di Torino, Torino, Italy)
ORCID (Department of Structural Geotechnical and Building Engineering, Politecnico di Torino, Torino, Italy)
ORCID (LINKS Foundation, Torino, Italy)
ORCID (LINKS Foundation, Torino, Italy)
(Rete Ferroviaria Italiana (RFI), Roma, Italy)
(Rete Ferroviaria Italiana (RFI), Roma, Italy)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering, , n. 4, v. 20
Page(s): 1-15
DOI: 10.1080/15732479.2022.2119581
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: 10.1080/15732479.2022.2119581.
  • About this
    data sheet
  • Reference-ID
    10696039
  • Published on:
    12/12/2022
  • Last updated on:
    15/03/2024
 
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