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Author:

Lu, Jian (Lu, Jian.) | Sun, Jingjing (Sun, Jingjing.) | Shen, Yang (Shen, Yang.) | Zheng, Wei (Zheng, Wei.) | Yao, Aijun (Yao, Aijun.) | Zheng, Xuan (Zheng, Xuan.)

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EI Scopus

Abstract:

This study investigates an estimation model of ground surface settlement caused by the excavation of tunnels with a horseshoe-shaped cross section. The ground surface settlement data of the construction of a subway line in Changchun was analyzed, and a model based on the simplified equation of the stochastic medium theory was established. The formula for parameter r(H) was modified. The parameters of the model were obtained by linear regression analysis of the ground surface settlement data. Based on the linear regression analysis results of the monitoring data, the distribution laws of the parameters in the model were obtained. The primary distribution range for tanβ in the Changchun area is 0.9-1.6, and the recommended value for ΔA is 8-22 mm (β is the angle between the slip surface and horizontal plane and ΔA is the uniform convergence value of the tunnel cross section). Further analysis of the proposed model indicates that with a good choice of parameters, a good estimate of the ground surface settlement can be obtained. © 2021 SPIE

Keyword:

Stochastic models Stochastic systems Settlement of structures Remote sensing Regression analysis Tunneling (excavation)

Author Community:

  • [ 1 ] [Lu, Jian]Road Safety Research Center, Research Institute of Highway Ministry of Transport, Beijing; 100088, China
  • [ 2 ] [Sun, Jingjing]Nanjing Transportation Operation Management Group Co, Jiangsu, Nanjing; 211800, China
  • [ 3 ] [Shen, Yang]Nanjing Transportation Operation Management Group Co, Jiangsu, Nanjing; 211800, China
  • [ 4 ] [Zheng, Wei]Nanjing Transportation Operation Management Group Co, Jiangsu, Nanjing; 211800, China
  • [ 5 ] [Yao, Aijun]Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Zheng, Xuan]China Nuclear Power Engineering Co., Ltd, Beijing; 100840, China

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ISSN: 0277-786X

Year: 2021

Volume: 12058

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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