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Development of prediction models for moisture susceptibility of asphalt mixture containing combined SBR, waste CR and ASA using support vector regression and artificial neural network methods

Author(s):

Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 322
Page(s): 126430
DOI: 10.1016/j.conbuildmat.2022.126430
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.2022.126430.
  • About this
    data sheet
  • Reference-ID
    10682843
  • Published on:
    18/06/2022
  • Last updated on:
    18/06/2022
 
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