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Predictive modeling of compressive strength of geopolymer concrete before and after high temperature applying machine learning algorithms

Author(s): ORCID (State Key Laboratory of Featured Metal Materials and Life‐cycle Safety for Composite Structure Guangxi University Nanning Guangxi China)
(State Key Laboratory of Featured Metal Materials and Life‐cycle Safety for Composite Structure Guangxi University Nanning Guangxi China)
(State Key Laboratory of Featured Metal Materials and Life‐cycle Safety for Composite Structure Guangxi University Nanning Guangxi China)
Medium: journal article
Language(s): English
Published in: Structural Concrete
DOI: 10.1002/suco.202400552
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.202400552.
  • About this
    data sheet
  • Reference-ID
    10801311
  • Published on:
    10/11/2024
  • Last updated on:
    10/11/2024
 
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