Optimizing asphalt mix design through predicting effective asphalt content and absorbed asphalt content using machine learning-Reference-Cited by-同舟云学术

Optimizing asphalt mix design through predicting effective asphalt content and absorbed asphalt content using machine learning

Published:2022-03 Issue: Volume:325 Page:126607
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Liu Jian,Liu Fangyu,Zheng Chuanfeng,Zhou Daodao,Wang Linbing

Publisher

Elsevier BV

Subject

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

Reference84 articles.

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4. N. Tran, F. Yin, F. Leiva, G. Huber, B. Pine, Adjustments to the Superpave Volumetric Mixture Design Procedure for Selecting Optimum Asphalt Content, Project NCHRP (2019) 20-07.

5. Impact of gyration reduction and design specification changes on volumetric properties of Virginia dense-graded asphalt mixtures;Diefenderfer;Transp. Res. Rec.,2018

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