Pavement Crack Width Measurement Based on Laplace's Equation for Continuity and Unambiguity

被引:71
作者
Wang, Wenjuan [1 ]
Zhang, Allen [2 ]
Wang, Kelvin C. P. [3 ]
Braham, Andrew F. [4 ]
Qiu, Shi [5 ]
机构
[1] Capital Univ Econ & Business, Beijing, Peoples R China
[2] Southwest Jiaotong Univ, Chengdu, Sichuan, Peoples R China
[3] Oklahoma State Univ, Stillwater, OK 74078 USA
[4] Univ Arkansas, Fayetteville, AR 72701 USA
[5] Beijing Univ Technol, Beijing, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
CONCURRENT ANALYSIS;
D O I
10.1111/mice.12319
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Crack is one of the most important pavement condition indicators that are immediately relevant to water ingress and pavement deterioration. In practices of pavement management, crack width has been extensively referenced by highway agencies to determine pavement crack severity. Accurate measurement of pavement crack width is meaningful for highway agencies in understanding the mechanism of crack formation, and in predicting crack propagation. This article presents a new automatic method for measuring crack width using the binary crack map images. The proposed method introduces a new crack width definition and formulates it using the Laplace's Equation so that crack width can be continuously and unambiguously measured. Two algorithms, including the crack blob extraction algorithm and the crack boundary extraction algorithm, are developed to implement the proposed formulation in an automated fashion. Experimental tests using both synthetic data and field data are conducted to demonstrate the accuracy and reliability of the proposed method. A case study on crack width propagation is also performed to demonstrate the practical capacity of the proposed method. The results of the experimental tests and the outcome of the case study have demonstrated that the proposed method, together with the existing crack map extraction algorithms, provides a promising means for consistent and unambiguous crack width measurement supporting automated pavement condition evaluation.
引用
收藏
页码:110 / 123
页数:14
相关论文
共 37 条
  • [1] Thickness Profile Generation for the Corpus Callosum Using Laplace's Equation
    Adamson, Christopher L.
    Wood, Amanda G.
    Chen, Jian
    Barton, Sarah
    Reutens, David C.
    Pantelis, Christos
    Velakoulis, Dennis
    Walterfang, Mark
    [J]. HUMAN BRAIN MAPPING, 2011, 32 (12) : 2131 - 2140
  • [2] CONCURRENT ANALYSIS OF LARGE STRUCTURES .1. ALGORITHMS
    ADELI, H
    KAMAL, O
    [J]. COMPUTERS & STRUCTURES, 1992, 42 (03) : 413 - 424
  • [3] CONCURRENT ANALYSIS OF LARGE STRUCTURES .2. APPLICATIONS
    ADELI, H
    KAMAL, O
    [J]. COMPUTERS & STRUCTURES, 1992, 42 (03) : 425 - 432
  • [4] Adeli H., 1989, Microcomputers in Civil Engineering, V4, P133
  • [5] Adeli H., 1987, Microcomputers in Civil Engineering, V2, P257
  • [6] Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures
    Amezquita-Sanchez, Juan Pablo
    Adeli, Hojjat
    [J]. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2016, 23 (01) : 1 - 15
  • [7] [Anonymous], 2017, STRUCT DES TALL SPEC
  • [8] Skeleton pruning by contour partitioning with discrete curve evolution
    Bai, Xiang
    Latecki, Longin Jan
    Liu, Wen-Yu
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2007, 29 (03) : 449 - 462
  • [9] Bird John., 2010, Electrical and Electronic Principles and Technology
  • [10] Cord A, 2012, COMPUT-AIDED CIV INF, V27, P244, DOI [10.1111/j.1467-8667.2011.00736.x, 10.1111/j.1467-8667.2011-00736.x]