Use of a machine learning-based framework to approximate the input features of an intrinsic cohesive zone model of recycled asphalt mixes tested at low temperatures
Auteur(s): |
Seyed Mohsen Motevalizadeh
Amir Kavussi Konrad Mollenhauer Cedric Vuye Navid Hasheminejad |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Construction and Building Materials, avril 2023, v. 373 |
Page(s): | 130870 |
DOI: | 10.1016/j.conbuildmat.2023.130870 |
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sur cette fiche - Reference-ID
10706845 - Publié(e) le:
21.03.2023 - Modifié(e) le:
21.03.2023