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

Advertisement

Quantitative description of chloride ingress in concrete using machine learning algorithms

Author(s): ORCID

ORCID

Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 467
Page(s): 140209
DOI: 10.1016/j.conbuildmat.2025.140209
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: 10.1016/j.conbuildmat.2025.140209.
  • About this
    data sheet
  • Reference-ID
    10819933
  • Published on:
    11/03/2025
  • Last updated on:
    11/03/2025
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine