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Using machine learning and experimental study to correlate and predict accelerated aging with natural aging of GFRP composites in hygrothermal conditions

Author(s):




Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 438
Page(s): 137264
DOI: 10.1016/j.conbuildmat.2024.137264
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.2024.137264.
  • About this
    data sheet
  • Reference-ID
    10813234
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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