Improving asphalt mix design considering international roughness index of asphalt pavement predicted using autoencoders and machine learning-Reference-Cited by-同舟云学术

Improving asphalt mix design considering international roughness index of asphalt pavement predicted using autoencoders and machine learning

Published:2022-12 Issue: Volume:360 Page:129439
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,Fanijo Ebenezer O.,Wang Linbing

Publisher

Elsevier BV

Subject

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

Reference84 articles.

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4. Estimating the rutting potential of asphalt mixtures using Superpave gyratory compaction properties and indirect tensile strength (with discussion);Anderson;J. Assoc. Asphalt Paving Technol.,2003

5. Aggregate properties and the performance of superpave-designed hot mix asphalt;Prowell;Transp. Res. Board,2005

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