文献类型：期刊文献

英文题名：Dislocation Detection of Shield Tunnel Based on Dense Cross-Sectional Point Clouds

作者：Du, Liming[1] Zhong, Ruofei[2] Sun, Haili[2] Pang, Yong[1] Mo, You[3,4]

第一作者：杜黎明

通信作者：Zhong, RF[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Key Lab Forestry Remote Sensing & Informat Syst, Natl Forestry & Grassland Adm, Beijing 100091, Peoples R China;[2]Capital Normal Univ, Acad Multidisciplinary Studied, Beijing Adv Innovat Ctr Imaging Technol, Minist Educ,Key Lab 3 Dimens Informat Acquisit &, Beijing 100048, Peoples R China;[3]China Aero Geophys Survey, Beijing 100083, Peoples R China;[4]Remote Sensing Ctr Nat Resources, Beijing 100083, Peoples R China

年份：0

外文期刊名：IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

收录：;EI(收录号：20221211818540);Scopus(收录号：2-s2.0-85126524035);WOS:【SCI-EXPANDED(收录号:WOS:000770603100001)】；

基金：This work was supported in part by the National Key Technologies Research and Development Program of China under Grant 2021YFE0117700, in part by the National Natural Science Foundation of China under Grant 42101444, and in part by the General scientific research projects of Beijing MunicipalCommission of Education under Grant KM202010028012. The Associate Editor for this article was Y. Hou.

语种：英文

外文关键词：Point cloud compression; Monitoring; Measurement by laser beam; Geophysical measurements; Data acquisition; Public transportation; Clustering algorithms; Shield tunnel; cross sectional point clouds; dislocation; filtering; circumferential joint; longitudinal joint

摘要：Tunnel dislocation affects the stability and waterproof of the structure and endangers its service life. This paper presents a dislocation calculation method of shield tunnel based on cross sectional point clouds, which contain three main steps. First, a longitudinal joint detection method is proposed based on the circumferential joints detected by the existing gradient accumulation method. The point clouds containing capping block in each ring are converted into gray image to obtain the center line position of the block, and the longitudinal joints are calculated through combining with the tunnel design data. Second, tunnel appendages are removed quickly through unfolding the tunnel point clouds by cylinder projection and adjusting the parameters of the cloth simulation filtering algorithm. Finally, the circumferential dislocations are calculated by selecting multiple denoised sections on both sides of the joint and clustering the points at each angle. Meanwhile, the longitudinal dislocations are calculated through fitting the segments in each ring separately. Experimental results show that the automatic extraction rate of longitudinal joints is higher than 94%. The point clouds filtering method can quickly separate the very long tunnel lining from the close appendages attached to it. Meanwhile, the RMSE of the repeated circumferential and longitudinal dislocation are evaluated to be 1.56 mm and 0.57 mm respectively. Compared with the existing state of art methods, these values reach 1.75 mm and 0.63 mm. Through the method proposed, the dislocation value at any mileage and any angle of tunnel can be displayed intuitively.