Complex network approach for the evaluation of asphalt pavement design and construction: a longitudinal study

作     者：Hanjie LIU Jinde CAO Wei HUANG Xinli SHI Xudong WANG Hanjie LIU;Jinde CAO;Wei HUANG;Xinli SHI;Xudong WANG

作者机构：School of Mathematics Southeast University Jiangsu Provincial Key Laboratory of Networked Collective Intelligence Southeast University Research Institute of Highway Ministry of Transport Intelligent Transportation System Research Center Southeast University School of Cyber Science and Engineering Southeast University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2022年第65卷第7期

页      面：210-224页

核心收录：

学科分类：08[工学] 0814[工学-土木工程] 082301[工学-道路与铁道工程] 0823[工学-交通运输工程] 

基　　金：supported in part by National Key Research&Development Project of China (Grant Nos.2020YFA0714300, 2020YFA0714301) National Natural Science Foundation of China (Grant Nos. 61833005, 61876036, 62003084) 

主　　题：complex network asphalt pavement structure evaluation longitudinal RIOHTrack 

摘      要：The assessment of asphalt pavement structures with diversified designs and constructions has been a critical challenge due to the practical limitations in testing and methodology. Here, we propose a complex network approach to the evaluation of longitudinal asphalt pavement performances in the Research Institute of Highway Ministry of Transport track(RIOHTrack). We add to the growing field in which network approaches are employed and indicate the profound application in understanding pavement ***, similar and disparate pavement performances are revealed regardless of their predefined design and construction categories. Evidence shows that short-term pavement performance depends on the strength of the subbase structure, whereas long-term performance relies on the thickness of the asphalt layer. In addition, our results indicate that recycling materials could be an important substitute for reducing the thickness of asphalt concrete and maintaining a healthy service life.