Research on Time-Difference and Fresnel Zone Inversion Method Based on Unstructured Grid in Bridge Inspection

DENG Fei; NIE Huanxin; SHEN Lianhong; LI Xu; YANG Lin

doi:10.13204/j.gyjzG21062704

Volume 52 Issue 5

Jul. 2022

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2022 > 52(5): 219-225

DENG Fei, NIE Huanxin, SHEN Lianhong, LI Xu, YANG Lin. Research on Time-Difference and Fresnel Zone Inversion Method Based on Unstructured Grid in Bridge Inspection[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(5): 219-225. doi: 10.13204/j.gyjzG21062704

Citation:

DENG Fei, NIE Huanxin, SHEN Lianhong, LI Xu, YANG Lin. Research on Time-Difference and Fresnel Zone Inversion Method Based on Unstructured Grid in Bridge Inspection[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(5): 219-225. doi: 10.13204/j.gyjzG21062704

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Research on Time-Difference and Fresnel Zone Inversion Method Based on Unstructured Grid in Bridge Inspection

doi: 10.13204/j.gyjzG21062704

1. College of Computer & Network Security, Chengdu University of Technology, Chengdu 610059, China;
2. Chengdu Communications Investment Group Co., Ltd., Chengdu 610041, China

Received Date: 2021-06-27
Available Online: 2022-07-23
Publish Date: 2022-07-23

Abstract

Abstract

Computerized tomographic technique is a emerging technique for nondestructive bridge inspection. In conventional tomographic inversion, rectangular grid is used to divide the model, and a large number of detection equipment is required to ensure the accuracy. To improve the effect of bridge tomographic inspection, the technique of Fresnel zone was introduced into the inversion to enlarge the coverage range of the inversion ray, which improved the ray sparseness caused by insufficient inspection equipment. By using the time difference method, the accuracy of first arrival data was improved and the influence of the first arrivals pick-up error in small-scale measurement was reduced. In addition, triangular mesh was used to divide the bridge model, which could fit the bridge model with irregular edges better than rectangular mesh. The results of model trial calculation and actual measurement showed that the Fresnel zone method could better deduce the position, shape and size of the velocity anomaly area. After using the time difference method to deal with the data with picking errors, the inversion results were close to the inversion results of accurate data. The algorithm improved the accuracy of inversion and could be effectively applied in bridge inspection projects.
- bridge inspection,
- computerized tomography technique,
- unstructured grid,
- fresnel zone,
- first arrivals pick-up,
- time-difference method

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References(17)

References

[1]	王一飞.公路桥梁检测技术及应用分析[J].四川建材,2020,46(10):28-29.
[2]	TAN L Y, ZHANG Z Y, WANG X. Research on design and application based on bridge inspection and maintenance scheme[J]. IOP Conference Series:Materials Science and Engineering, 2020, 914(1).
[3]	QI X. Improved algorithm based on block Iteration for ultrasonic computerized tomography on concrete[J]. Journal of Information&Computational Science, 2015, 12(11):4377-4384.
[4]	张杰.光纤传感技术在桥梁检测中的运用[J].公路与汽运, 2016(2):203-204.
[5]	POURIA A, MAYRAI G, MARCO A, et al. A computer vision based rebar detection chain for automatic processing of concrete bridge deck GPR data[J]. Automation in Construction,2020,112.
[6]	LIN J J, IBRA A, SARWADE S, et al. Bridge Inspection with aerial robots:automating the entire pipeline of visual data capture, 3D mapping, defect detection, analysis, and reporting[J]. Journal of Computing in Civil Engineering,2021,35(2).
[7]	PENG X, ZHONG X G, ZHAO C, et al. The feasibility assessment study of bridge crack width recognition in images based on special Inspection UAV[J]. Advances in Civil Engineering,2020,2020.
[8]	赵明阶,徐蓉.超声波CT成像技术及其在大型桥梁基桩无损检测中的应用[J].重庆交通学院学报,2001(2):73-77,86.
[9]	谷昊.声波CT技术在桥梁无损检测中的应用[J].交通世界(建养.机械),2012(11):171-173.
[10]	袁浩,唐英.弹性波(CT)层析技术在桥梁检测中的应用[J].山西建筑,2017,43(8):155-157.
[11]	LI B, LIU B, XU F, et al. Compressive sampling-based ultrasonic computerized tomography technique for damage detection in concrete-filled steel tube in a bridge[J]. International Journal of Distributed Sensor Networks, 2021, 17(2):1550147720986113.
[12]	刘润泽,田清伟,于师建,等.结构混凝土三角网声波层析成像检测技术[J].地球物理学进展,2014,29(4):1907-1913.
[13]	李旭,房鹏,祁勋,等.桥梁检测中非结构化网格层析正演算法研究[J].物探化探计算技术,2020, 42(1):50-55.
[14]	周建宇.井间地震研究与应用[D].兰州:中国科学院研究生院(兰州地质研究所),2002.
[15]	刘双.反射菲涅尔带走时层析反演方法研究[D].青岛:中国石油大学(华东),2016.
[16]	李亭,宋炜,王泉栋.基于时差法的微地震速度反演[C]//中国地球科学联合学术年会:专题20:岩石物理与非常规油气勘探开发论文集. 2014.
[17]	缪思钰,张海江,陈余宽,等.基于微地震定位和速度成像的页岩气水力压裂地面微地震监测[J].石油物探,2019, 58(2):262-271 ,284.