A DATA-DRIVEN APPROACH TO THE EVALUATION OF ASPHALT PAVEMENT STRUCTURES USING FALLING WEIGHT DEFLECTOMETER

被引：8
作者：
Liu, Hanjie [1 ]
Cao, Jinde [1 ,2 ]
Huang, Wei [3 ]
Shi, Xinli [4 ]
Zhou, Xingye [5 ]
机构：
[1] Southeast Univ, Jiangsu Prov Key Lab Networked Collect Intelligen, Sch Math, Nanjing 210096, Peoples R China
[2] Yonsei Univ, Yonsei Frontier Lab, Seoul 03722, South Korea
[3] Southeast Univ, Intelligent Transportat Syst Res Ctr, Nanjing 210096, Peoples R China
[4] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 210096, Peoples R China
[5] Minist Transport, Res Inst Highway, Beijing 100088, Peoples R China
来源：
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S | 2022年 / 15卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Data-driven; unsupervised machine learning; pavement design; RIOHTrack; FWD; COMMUNITY STRUCTURE; TEMPERATURE; CONNECTIVITY; PERFORMANCE;
D O I：
10.3934/dcdss.2022139
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The evaluation of asphalt pavement structures has been a critical challenge in the field due to the practical limitations in methodology. In this paper, we propose a data-driven framework to evaluate structural performance of nineteen widely used asphalt structures in the Research Institute of Highway Ministry of Transport track (RIOHTrack). Specifically, we utilize the unsupervised machine learning method to delineate the similar and disparate performance among tested structures based on four years of falling weight deflectometer (FWD) experiments. Next, the structural performance is investigated on the temporal scale and the dynamic performance variations are captured over the course of the testing. Finally, experimental results are discussed and we provide essential evidence to aid future asphalt pavement design and construction.
引用
收藏
页码：3223 / 3241
页数：19
相关论文
共 50 条
[21]   Integrating ground penetrating radar and failing weight deflectometer technologies in pavement evaluation [J].
Scullion, T ;
Saarenketo, T .
NONDESTRUCTIVE TESTING OF PAVEMENTS AND BACKCALCULATION OF MODULI, 3RD VOLUME, 2000, 1375 :23-37
[22]   Pavement bearing capacity evaluation during pavement-fracturing using falling-weight impact acceleration [J].
Zhao, Mohan ;
Liu, Yu ;
Wu, Chaofan ;
Xu, Xinnan ;
Pei, Yuhao ;
Zhang, Chengmiao .
CASE STUDIES IN CONSTRUCTION MATERIALS, 2024, 21
[23]   A survey of data-driven approach on multimedia QoE evaluation [J].
Ruochen Huang ;
Xin Wei ;
Liang Zhou ;
Chaoping Lv ;
Hao Meng ;
Jiefeng Jin .
Frontiers of Computer Science, 2018, 12 :1060-1075
[24]   A survey of data-driven approach on multimedia QoE evaluation [J].
Huang, Ruochen ;
Wei, Xin ;
Zhou, Liang ;
Lv, Chaoping ;
Meng, Hao ;
Jin, Jiefeng .
FRONTIERS OF COMPUTER SCIENCE, 2018, 12 (06) :1060-1075
[25]   A data-driven approach for instability analysis of thin composite structures [J].
Bai, Xiaowei ;
Yang, Jie ;
Yan, Wei ;
Huang, Qun ;
Belouettar, Salim ;
Hu, Heng .
COMPUTERS & STRUCTURES, 2022, 273
[26]   A data-driven approach for building energy benchmarking using the Lorenz curve [J].
Chen, Yibo ;
Tan, Hongwei ;
Berardi, Umberto .
ENERGY AND BUILDINGS, 2018, 169 :319-331
[27]   An organizational digital footprint for interruption management: a data-driven approach [J].
Kalliomaki-Levanto, Tiina ;
Ukkonen, Antti .
INFORMATION TECHNOLOGY & PEOPLE, 2022, 35 (08) :369-396
[28]   Performance Evaluation of Highway Embankment Constructed from Tire-Derived Aggregate Using Falling Weight Deflectometer Tests [J].
Meles D. ;
Yi Y. ;
Bayat A. .
Transportation Infrastructure Geotechnology, 2016, 3 (3-4) :128-142
[29]   Fast Falling Weight Accelerated Pavement Testing and Laboratory Analysis of Asphalt Pavements Reinforced with Geocomposites [J].
Ragni, Davide ;
Montillo, Tony ;
Marradi, Alessandro ;
Canestrari, Francesco .
PROCEEDINGS OF THE 5TH INTERNATIONAL SYMPOSIUM ON ASPHALT PAVEMENTS & ENVIRONMENT (APE), 2020, 48 :417-430
[30]   Data-driven aerodynamic analysis of structures using Gaussian Processes [J].
Kavrakov, Igor ;
McRobie, Allan ;
Morgenthal, Guido .
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2022, 222
12345