Prediction of the fundamental viscoelasticity of asphalt mixtures using ML algorithms-Reference-Cited by-同舟云学术

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Prediction of the fundamental viscoelasticity of asphalt mixtures using ML algorithms

Published:2024-09 Issue: Volume:442 Page:137573
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Wang Jiarui^ORCID,Zhang Runhua^ORCID,Wang Rui,Bahia Hussain,Huang Weidong,Wang Di^ORCID,Cai Wei^ORCID

Publisher

Elsevier BV

Reference40 articles.

1. Nominal property based predictive models for asphalt mixture complex modulus (dynamic modulus and phase angle)[J];Nemati;Constr. Build. Mater.,2018

2. Experimental analysis and predictive modelling of linear viscoelastic response of asphalt mixture under dynamic shear loading[J];Zhu;Constr. Build. Mater.,2022

3. Understanding the particle effects and interaction effects of crumb rubber modified asphalt regarding bonding properties[J];Lv;Constr. Build. Mater.,2022

4. Comparison and correlation of asphalt binder and mixture cracking parameters incorporating the aging effect[J];Zhang;Constr. Build. Mater.,2021

5. Effects and molecular mechanisms of jet ablation and fuel corrosion on separation failure of the asphalt-aggregate interface in airport asphalt pavements[J];Sun;Constr. Build. Mater.,2024

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