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Machine learning approach for predicting fire resistance of FRP‐strengthened concrete beams

Author(s): (Engineering Systems Inc. (ESi) Aurora Illinois USA)
(Pacific Structural Forensics Jersey City New Jersey USA)
(Department of Civil and Environmental Engineering Michigan State University East Lansing Michigan USA)
ORCID (School of Civil and Environmental Engineering & Earth Sciences and the Artificial Intelligence Research Institute for Science and Engineering (AIRISE) Clemson University Clemson South Carolina USA)
Medium: journal article
Language(s): English
Published in: Structural Concrete
DOI: 10.1002/suco.202400466
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/suco.202400466.
  • About this
    data sheet
  • Reference-ID
    10807549
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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