|Table of Contents|

Automatic detecting method of cement concrete pavement fault(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2016年04期
Page:
26-36
Research Field:
道路与铁道工程
Publishing date:

Info

Title:
Automatic detecting method of cement concrete pavement fault
Author(s):
ZHANG Juan1 YE Li1 LI Wei2
1. State Key Laboratory of Road Engineering Safety and Health in Cold and High-Altitude Regions, CCCC First Highway Consultants Co., Ltd., Xi’an 710075, Shaanxi, China; 2. School of Information Engineering, Chang’an University, Xi’an 710064, Shaanxi, China
Keywords:
pavement engineering cement concrete pavement fault 3D detection method line laser
PACS:
U416.216
DOI:
-
Abstract:
In order to realize the automatic detection of cement concrete pavement fault, the active optical 3D shape measurement technique was analyzed, area array CCD camera was used to receive the measurement images, the detecting platform of fault was established based on the line laser 3D scanning, and mainly included the power subsystem, the acquisition subsystem of cement road surface image, the external trigger subsystem and the GPS positioning subsystem. The noise filtering threshold was determined according to the noise characteristics of 3D detecting data of cement concrete pavement, the open and corrosion operations were implemented for eliminating the isolated points in the data after the mean square deviation filtering. 3D data matrix was divided into homogeneous blocks according to its size, the blocks mean was used to eliminate the incline of data matrix, the inflection point matrix was obtained according to each row inflection point of 3D data matrix, and the faulting values were calculated. In order to verify the feasibility and validity of the method, parallel fault, trapezoid fault and cross fault were simulated and respectively detected three times according to the fault sizes in the laboratory, and the detecting result was compared with the testing result of leveling instrument. The same fault was repeatedly measured 10 times by the leveling instrument and the 3D detecting method to verify the reproducibility of 3D detection method. Experimental result shows that 96% of absolute errors between the measuring values using the 3D detection method and the leveling instrument are less than 1 mm, the standard deviation is about 7.8 times larger using the leveling instrument than using the 3D detection method, so the 3D detection method has higher accuracy, stability and reproducibility and can be used in the automatic detection of concrete joint fault. 3 tabs, 18 figs, 15 refs.

References:

[1] 武贤惠,沙爱民,张 娟.水泥路面病害-成因关系链及数字化编码[J].长安大学学报:自然科学版,2015,35(2):19-25.WU Xian-hui, SHA Ai-min, ZHANG Juan. Chain and digital coding of distress and cause of cement concrete pavement[J]. Journal of Chang’an University: Natural Science Edition, 2015, 35(2): 19-25.(in Chinese)
[2] 陈富强,谈至明.水泥混凝土路面横向接缝错台模型与应用[J].同济大学学报:自然科学版,2011,39(1):74-84.CHEN Fu-qiang, TAN Zhi-ming. Transverse joint faulting models and application of cement concrete pavement[J]. Journal of Tongji University: Natural Science, 2011, 39(1): 74-84.(in Chinese)
[3] Federal Highway Administration. Distress identification manual for the long-term pavement performance program[R]. Washington DC: Federal Highway Administration, 2003.
[4] ZOKAIE T. AASHTO-LRFD live load distribution specific-ations[J]. Journal of Bridge Engineering, 2000, 5(2): 131-138.
[5] DERE Y, ASGARI A, SOTELINO E D, et al. Failure prediction of skewed jointed plain concrete pavements using 3D FE analysis[J]. Engineering Failure Analysis, 2006, 13(6): 898-913.
[6] 张文武,潘昊宇,王振龙,等.基于ANSYS的错台修补有限元仿真分析及其应用[J].筑路机械与施工机械化,2008,25(9):53-56.ZHANG Wen-wu, PAN Hao-yu, WANG Zhen-long, et al. Finite element simulation analysis and application of slab staggering patching based on ANSYS[J]. Road Machinery and Construction Mechanization, 2008, 25(9): 53-56.(in Chinese)
[7] SUN Xiao-ming, HUANG Jian-ping, LIU Wan-yu, et al. Pavement crack characteristic detection based on sparse representation[J]. Eurasip Journal on Advances in Signal Processing, 2012, 2012(1): 1-11.
[8] OUYANG W, XU B. Pavement cracking measurements using 3D laser-scan images[J]. Measurement Scienseand Technology, 2013, 24(10): 105-204.
[9] 马国民.水泥混凝土路面错台病害的评定方法及处治技术[D].重庆:重庆交通大学,2011.MA Guo-min. The assessment method and treatment technology for the joint faulting distress ofof cement concrete pavement[D]. Chongqing: Chongqing Jiaotong University, 2011.(in Chinese)
[10] 唐伯明,马国民,谈至明.水泥混凝土路面错台分级方法[J].同济大学学报:自然科学版,2012,40(1):62-67.TANG Bo-ming, MA Guo-min, TAN Zhi-ming. Faulting evaluation criteria of cement concrete pavement[J]. Journal of Tongji University: Natural Science, 2012, 40(1): 62-67.(in Chinese)
[11] 英 红,朱庆铖,谈至明,等.利用竖向加速度的水泥路面错台估算方法[J].哈尔滨工业大学学报,2013,45(2):96-100.YING Hong, ZHU Qing-cheng, TAN Zhi-ming, et al. Faulting estimation method based on vertical acceleration of cement concrete pavement[J]. Journal of Harbin Institute of Technology, 2013, 45(2): 96-100.(in Chinese)
[12] 英 红,谈至明.基于双目视觉的水泥混凝土路面错台检测方法[J].同济大学学报:自然科学版,2011,39(2):247-252.YING Hong, TAN Zhi-ming. Cement concrete pavement faulting detection and recognization based on binocular vision[J]. Journal of Tongji University: Natural Science, 2011, 39(2): 247-252.(in Chinese)
[13] 李 伟,沙爱民,孙朝云,等.基于线结构光的水泥混凝土路面错台三维检测[J].同济大学学报:自然科学版,2015,43(7):1039-1044.LI Wei, SHA Ai-min, SUN Zhao-yun, et al. Joint faulting three-dimension detection method on cement concrete pavement with line-structure light[J]. Journal of Tongji University: Natural Science, 2015, 43(7): 1039-1044.(in Chinese)
[14] 孙朝云,郝雪丽,沙爱民,等.水泥混凝土路面错台三维检测方法[J].长安大学学报:自然科学版,2016,36(2):1-8.SUN Zhao-yun, HAO Xue-li, SHA Ai-min, et al. 3D detection method of cement concrete joint faulting[J]. Journal of Chang’an University: Natural Science, 2016, 36(2): 1-8.(in Chinese)
[15] 卢晋人,黄元庆.激光三角法测量表面形貌[J].厦门大学学报:自然科学版,2004,43(1):50-53.LU Jin-ren, HUANG Yuan-qing. Laser triangulation method for surface measurement[J]. Journal of Xiamen University: Natural Science, 2004, 43(1): 50-53.(in Chinese)

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Last Update: 2016-08-30