Improved predictions of asphalt concretes’ dynamic modulus and phase angle using decision-tree based categorical boosting model-Reference-Cited by-同舟云学术

Improved predictions of asphalt concretes’ dynamic modulus and phase angle using decision-tree based categorical boosting model

Published:2023-10 Issue: Volume:400 Page:132709
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Rondinella Fabio^ORCID,Daneluz Fabiola^ORCID,Hofko Bernhard^ORCID,Baldo Nicola^ORCID

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference52 articles.

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3. Establishing prediction master curve of dynamic modulus of asphalt mixture considering randomness of aggregate morphology;Ding;Constr. Build. Mater.,2021

4. AASHTO, American Association of State Highway Transportation Officials (AASHTO) Guide for Design of Pavement Structures, 1993, AASHTO1993.

5. Empirical correlation of permanent deformation tests for evaluating the rutting response of conventional asphaltic concrete mixtures;Ali;J. Mater. Civ. Eng.,2017

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