Study on space distribution and correlation of shield tunnel diseases in urban rail transit

doi:10.13474/j.cnki.11-2246.2021.0248

Abstract

Abstract: The urban rail transit in China has entered a period of equal emphasis on construction and maintenance. With the increase of the service life of subway tunnel, the variety of tunnel diseases has been increased, and it shows a trend of gradual aggravation. Based on three-dimensional laser ring-by-ring monitoring, the spatial distribution characteristics and autocorrelation of the damage in the tunnel are studied. It is the premise of tunnel disease prevention and control to master the operating state and disease development trend of subway tunnel. Ring-by-ring 3D laser measurement data of a subway tunnel are used to analyze the spatial distribution characteristics of the disease such as dislocation, falling blocks, cracks, lining split along the route. Also, this paper analyzes the relationship between the disease and the surrounding geological environment. The self-correlation between diseases is studied by using gray correlation analysis algorithm which provides a quantitative analysis method for understanding the development trend of tunnel diseases and the coupling relationship between the diseases. The research in this paper provides an effective basis for understanding the spatial distribution of tunnel diseases, predicting the occurrence and treatment of tunnel diseases, and providing a strong guarantee for the safe operation of the subway.

Key words: 3D laser, tunnel diseases, gray correlation analysis, space distribution of the tunnel disease, self-correlation of disease

CLC Number:

P258

XU Pengyu, TANG Chao, WANG Li. Study on space distribution and correlation of shield tunnel diseases in urban rail transit[J]. Bulletin of Surveying and Mapping, 2021, 0(8): 93-96,110.

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