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作者:

Wang, Fan (Wang, Fan.) | Du, Xiuli (Du, Xiuli.) (学者:杜修力) | Li, Pengfei (Li, Pengfei.)

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EI Scopus SCIE

摘要:

This paper focuses on the prediction of ground surface settlement induced by shield tunnelling in sandy cobble stratum. Based on the stochastic medium theory, an analytical solution to predict the surface settlement is developed considering the difference between soil and tunnel volume loss. Then, the effects of tunnel geometries, influence angle and volume loss on the characteristics of surface settlement are discussed. Through back analysis, a total of 103 groups of field monitoring data of surface settlement induced by shield tunnelling in sandy cobble stratum are examined to investigate the statistical characteristics of the maximum settlement, settlement trough width and volume loss. An empirical prediction is presented based on the results of back analysis. Finally, the analytical solution and empirical expression are validated by the comparisons with the results of model tests and field monitoring. Results show that the soil at ground surface has an overall dilative response for most of the shield tunnelling in sandy cobble stratum. In addition, the developed analytical solution is applicable and reasonable for surface settlement prediction. Meanwhile, the proposed empirical formula also shows good per-formance in some cases, providing an approach or a reference for engineering designers to preliminarily evaluate the surface settlement.

关键词:

Shield tunnelling Ground surface settlement Empirical formulas Sandy cobble stratum Stochastic medium theory

作者机构:

  • [ 1 ] [Wang, Fan]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 2 ] [Du, Xiuli]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Pengfei]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China

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来源 :

UNDERGROUND SPACE

ISSN: 2096-2754

年份: 2023

卷: 11

页码: 189-203

6 . 4 0 0

JCR@2022

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SCOPUS被引频次: 22

ESI高被引论文在榜: 0 展开所有

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