Study of Pavement Macro- and Micro-Texture Evolution Law during Compaction Using 3D Laser Scanning Technology

被引:8
|
作者
Lin, Yuchao [1 ]
Dong, Chenyang [2 ]
Wu, Difei [1 ]
Jiang, Shengchuan [3 ]
Xiang, Hui [2 ]
Weng, Zihang [1 ]
机构
[1] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, 4800 Caoan Rd, Shanghai 201804, Peoples R China
[2] China State Construct Railway Investment & Engn Gr, Beijing 102600, Peoples R China
[3] Univ Shanghai Sci & Technol, Business Sch, Dept Traff Engn, Shanghai 200093, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 09期
关键词
pavement texture; 3D laser scanning; compaction; wavelet transform; geometric parameter; SURFACE-ROUGHNESS; MACROTEXTURE; COEFFICIENT; PREDICTION;
D O I
10.3390/app13095736
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The pavement macro-texture and micro-texture are crucial factors for evaluating pavement performance as they have a significant correlation with friction, water film formation, and driving safety. During pavement construction, the macro-texture and micro-texture are significantly related to compaction operations. However, the current approach for evaluating pavement texture still relies on post-construction acceptance, with few considerations on the evolution patterns of pavement texture during the compaction process. Therefore, this study aimed to investigate the texture evolution law during compaction by implementing a laboratory compaction method. High-precision texture data from various asphalt mixtures were collected using 3D laser scanning during laboratory compaction. Macro-texture and micro-texture parameters were used to evaluate surface texture. Nineteen traditional geometric parameters were calculated at the macro-level to analyze macro-texture characteristics, while a 2D wavelet transform approach was applied at the micro-level to extract micro-texture, and the energy of each level and relative energy were calculated as indicators. This study analyzed the evolution law of parameters and found that certain parameters tend to converge. Moreover, geometric parameters and energy at lower levels of the samples could be utilized as supervising factors to regulate the compaction process.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] AUTOMATIC 3D RECONSTRUCTION OF HIGHWAY TUNNEL USING TERRESTRIAL LASER SCANNING TECHNOLOGY
    Chen, De-liang
    Lu, Yan-yan
    Jia, Dong-zhen
    FRESENIUS ENVIRONMENTAL BULLETIN, 2018, 27 (11): : 7677 - 7684
  • [32] Digital Twin Technology for Bridge Maintenance using 3D Laser Scanning: A Review
    Hosamo, Haidar Hosamo
    Hosamo, Mohsen Hosamo
    ADVANCES IN CIVIL ENGINEERING, 2022, 2022
  • [33] Experimenting with 3D Digitization of Architectural Physical Models using Laser Scanning Technology
    Hadjri, Karim
    INTERNATIONAL JOURNAL OF ARCHITECTURAL COMPUTING, 2006, 4 (02) : 67 - 80
  • [34] Semantic 3D Reconstruction of Furnished Interiors Using Laser Scanning and RFID Technology
    Valero, Enrique
    Adan, Antonio
    Bosche, Frederic
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2016, 30 (04)
  • [35] Measurement of Pavement 3D Texture Using the Binocular Reconstruction Algorithm Improved by Moving Laser Line Constraint
    Wang, Yuanyuan
    Ren, Xiaofeng
    Huang, Zhongwen
    Liu, Yanyan
    JOURNAL OF TESTING AND EVALUATION, 2023, 51 (06) : 4237 - 4252
  • [36] Study on Application of terrestrial 3D laser scanning technology in the calculation of the fine earthwork
    Feng Xiao-gang
    Li Meng
    Liu Jing-xiu
    ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING IV, 2014, 580-583 : 2833 - 2837
  • [37] Analysis of Asphalt Mixtures Modified with Steel Slag Surface Texture Using 3D Scanning Technology
    Zhang, Shuai
    Guo, Rongxin
    Yan, Feng
    Dong, Ruzhu
    Kong, Chuiyuan
    Li, Junjie
    MATERIALS, 2023, 16 (08)
  • [38] 3D facial shape reconstruction using macro- and micro-level features from high resolution facial images
    Jo, Jaeik
    Kim, Hyunjun
    Kim, Jaihie
    IMAGE AND VISION COMPUTING, 2017, 64 : 1 - 9
  • [39] Geospatial Data Acquisitions Using 3D Laser Scanning Technology in the Context of Monitoring Mines
    Moscovici, A. M.
    Brebu, F. M.
    Bala, A. C.
    MODERN TECHNOLOGIES FOR THE 3RD MILLENNIUM, 2017, : 33 - 38
  • [40] Design Improvement for a Maritime Training Polygon using 3D Terrestrial Laser Scanning Technology
    Marasescu, Daniel
    Manea, Mihaela-Greti
    Burlacu, Paul
    Tanase, Andreea Codrina
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2023, 13 (05) : 11850 - 11859