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

页码：3223 / 3241

页数：19

共 50 条

[21] A survey of data-driven approach on multimedia QoE evaluation
Huang, Ruochen
Wei, Xin
Zhou, Liang
Lv, Chaoping
Meng, Hao
Jin, Jiefeng
FRONTIERS OF COMPUTER SCIENCE, 2018, 12 (06) : 1060 - 1075
[22] A data-driven approach for instability analysis of thin composite structures
Bai, Xiaowei
Yang, Jie
Yan, Wei
Huang, Qun
Belouettar, Salim
Hu, Heng
COMPUTERS & STRUCTURES, 2022, 273
[23] A data-driven approach for building energy benchmarking using the Lorenz curve
Chen, Yibo
Tan, Hongwei
Berardi, Umberto
ENERGY AND BUILDINGS, 2018, 169 : 319 - 331
[24] An organizational digital footprint for interruption management: a data-driven approach
Kalliomaki-Levanto, Tiina
Ukkonen, Antti
INFORMATION TECHNOLOGY & PEOPLE, 2022, 35 (08) : 369 - 396
[25] Performance Evaluation of Highway Embankment Constructed from Tire-Derived Aggregate Using Falling Weight Deflectometer Tests
Meles D.
Yi Y.
Bayat A.
Transportation Infrastructure Geotechnology, 2016, 3 (3-4) : 128 - 142
[26] Fast Falling Weight Accelerated Pavement Testing and Laboratory Analysis of Asphalt Pavements Reinforced with Geocomposites
Ragni, Davide
Montillo, Tony
Marradi, Alessandro
Canestrari, Francesco
PROCEEDINGS OF THE 5TH INTERNATIONAL SYMPOSIUM ON ASPHALT PAVEMENTS & ENVIRONMENT (APE), 2020, 48 : 417 - 430
[27] Data-driven aerodynamic analysis of structures using Gaussian Processes
Kavrakov, Igor
McRobie, Allan
Morgenthal, Guido
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2022, 222
[28] GraphDGM: A Generative Data-Driven Design Approach for Frame and Lattice Structures
Yang, Zhenling
Guo, Yilin
Sun, Zhi
Elkhodary, Khalil I.
Feng, Fuyong
Kang, Zhong
Journal of Mechanical Design, 2025, 147 (10)
[29] Evaluation of Data-Driven Sustainability Potential at SMEs Using an Altered Ecocanvas Model
Balint, Levente Peter
Varallyai, Laszlo
Botos, Szilvia
ECONOMIES, 2025, 13 (02)
[30] Data-Driven MoE: A Data-Driven Approach to Construct MoE by a Single LLM
Teng, Zeyu
Yan, Zhiwei
Song, Yong
Ye, Xiaozhou
Ouyang, Ye
ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT IV, ICIC 2024, 2024, 14878 : 352 - 363

← 1 2 3 4 5 →