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
| Auteur(s): |
Rezvan Babagoli
Mohsen Rezaei |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Construction and Building Materials, mars 2022, v. 322 |
| Page(s): | 126430 |
| DOI: | 10.1016/j.conbuildmat.2022.126430 |
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sur cette fiche - Reference-ID
10682843 - Publié(e) le:
18.06.2022 - Modifié(e) le:
18.06.2022
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