Accurately predicting dynamic modulus of asphalt mixtures in low-temperature regions using hybrid artificial intelligence model
Author:
Funder
Fundamental Research Funds for the Central Universities
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference80 articles.
1. Investigating mechanical characteristics of aggregate structure for road materials;Ren;Int. J. Pavement Eng.,2020
2. Towards the potential usage of eggshell powder as bio-modifier for asphalt binder and mixture: workability and mechanical properties;Huang;Int. J. Pavement Eng.,2021
3. Potential anti-vibration pavements with damping layer: Finite element (fe) modeling, validation, and parametrical studies;Huang;Constr. Build. Mater.,2021
4. Indirect tensile test as a simple method for rut resistance evaluation of asphalt mixtures–polish experience;Zieliński;Road Mater. Pavement Des.,2020
5. Laboratory investigation of the effect of crumb rubber on the characteristics and rheological behaviour of asphalt binder;Yousefi Kebria;Road Mater. Pavement Des.,2015
Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Effects of moisture contents, fracture modes, and temperatures on fracture toughness and crack distribution of asphalt concrete at low-temperature;Case Studies in Construction Materials;2024-12
2. A comprehensive evaluation of damping, vibration, and dynamic modulus in reclaimed asphalt pavement: The role of rejuvenators, polymer, temperature, and aging;Case Studies in Construction Materials;2024-12
3. Evaluation of underground hard rock mine pillar stability using gene expression programming and decision tree‐support vector machine models;Deep Underground Science and Engineering;2024-07-23
4. A Metaheuristic Approach of predicting the Dynamic Modulus in Asphalt Concrete;Engineering, Technology & Applied Science Research;2024-04-02
5. Study on the characterization method of dynamic modulus for asphalt mixture under multi-factor coupling conditions;Construction and Building Materials;2024-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3