Localization and Quantification of Concrete Spalling Defects Using Terrestrial Laser Scanning

被引:96
作者
Kim, Min-Koo [1 ,2 ]
Sohn, Hoon [3 ]
Chang, Chih-Chen [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China
[2] Korea Adv Inst Sci & Technol, Taejon 305701, South Korea
[3] Korea Adv Inst Sci & Technol, Dept Civil & Environm Engn, Taejon 305701, South Korea
基金
新加坡国家研究基金会;
关键词
Quality assessment; Concrete surface; Terrestrial laser scanner; Spalling defect; Defect localization and defect quantification;
D O I
10.1061/(ASCE)CP.1943-5487.0000415
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
During construction and maintenance of concrete structures, it is important to achieve and preserve good surface quality of their components. The current quality assessment for concrete surfaces, however, heavily relies on manual inspection, which is time demanding and costly. This study presents a new technique that can simultaneously localize and quantify spalling defects on concrete surfaces using a terrestrial laser scanner. Defect-sensitive features, which have complementary properties to each other, are developed and combined for improved localization and quantification of spalling defects. A defect classifier is developed to automatically diagnose whether the investigated surface region is damaged, where the defect is located, and how large it is. Numerical simulations and experiments are conducted to demonstrate the effectiveness of the proposed defect-detection technique. Furthermore, a parametric study with varying scan parameters is performed for optimal detection performance. The results demonstrate that the proposed technique can properly estimate the location and volume of the concrete spalling defects. (C) 2014 American Society of Civil Engineers.
引用
收藏
页数:12
相关论文
共 29 条
[11]   Pothole detection in asphalt pavement images [J].
Koch, Christian ;
Brilakis, Ioannis .
ADVANCED ENGINEERING INFORMATICS, 2011, 25 (03) :507-515
[12]   LiDAR-BASED BRIDGE STRUCTURE DEFECT DETECTION [J].
Liu, W. ;
Chen, S. ;
Hauser, E. .
EXPERIMENTAL TECHNIQUES, 2011, 35 (06) :27-34
[13]   Quantitative scaling evaluation of concrete structures based on terrestrial laser scanning [J].
Mizoguchi, Tomohiro ;
Koda, Yasuhiro ;
Iwaki, Ichiro ;
Wakabayashi, Hiroyuki ;
Kobayashi, Yoshikazu ;
Shirai, Kenji ;
Hara, Yasuhiko ;
Lee, Hwa-Soo .
AUTOMATION IN CONSTRUCTION, 2013, 35 :263-274
[14]   Optical techniques for multiscale damage assessment [J].
Olsen, Michael J. ;
Chen, Zhiqiang ;
Hutchinson, Tara ;
Kuester, Falko .
GEOMATICS NATURAL HAZARDS & RISK, 2013, 4 (01) :49-70
[15]   Terrestrial Laser Scanning-Based Structural Damage Assessment [J].
Olsen, Michael J. ;
Kuester, Falko ;
Chang, Barbara J. ;
Hutchinson, Tara C. .
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2010, 24 (03) :264-272
[16]   A new approach for health monitoring of structures: Terrestrial laser scanning [J].
Park, H. S. ;
Lee, H. M. ;
Adeli, Hojjat ;
Lee, I. .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2007, 22 (01) :19-30
[17]  
Paterson A. M., 1997, Automation in Construction, V7, P13, DOI 10.1016/S0926-5805(97)00031-9
[18]  
PCA (Portland Cement Association), 2001, Concrete Slab Surface Defects: Causes, Prevention, Repair
[19]  
RIEGL, 2013, RIVLIB, V13
[20]  
Sahs S., 2000, P 8 INT BRIDG MAN C