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
Author(s): |
Seyed Mohsen Motevalizadeh
Amir Kavussi Konrad Mollenhauer Cedric Vuye Navid Hasheminejad |
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Medium: | journal article |
Language(s): | English |
Published in: | Construction and Building Materials, April 2023, v. 373 |
Page(s): | 130870 |
DOI: | 10.1016/j.conbuildmat.2023.130870 |
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data sheet - Reference-ID
10706845 - Published on:
21/03/2023 - Last updated on:
21/03/2023