›› 2015, Vol. 36 ›› Issue (12): 3516-3522.doi: 10.16285/j.rsm.2015.12.023

• Geotechnical Engineering • Previous Articles     Next Articles

A method for predicting ground surface settlement in the artificial thawing period of tunnel horizontally frozen wall

CAI Hai-bing1, 2, PENG Li-min2, ZHENG Teng-long1   

  1. 1. School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, Anhui 232001, China; 2. School of Civil Engineering, Central South University, Changsha, Hunan 410075, China
  • Received:2014-05-12 Online:2015-12-11 Published:2018-06-14
  • Supported by:

    Project supported by National Program on Key Basic Research Project of China (973 Program) (Grant No. 2011CB013802), the National Natural Science Foundation of China (Grant No. 51208004) and Natural Science Foundation of Anhui Province(Grant No. 1208085QE87).

Abstract: A method for predicting ground surface settlement in artificial thawing period of tunnel horizontal frozen wall is presented based on the stochastic medium theory. In this method, the artificial thawing process of frozen wall is taken into account, and the temperature field of frozen wall under artificial thawing conditions is approximately derived using the single-pipe thawing theory. Based on the calculation formulation for thawing settlement in the one-dimensional case proposed by ЦЫТОВНИЧ, the methods of calculating the thawing soil column radius and the inner radius of thawing contractive region are derived. The proposed methods are applied to predict the ground surface settlement during the artificial thawing process of a full-section horizontally frozen circular tunnel. It is found that ground surface settlement distribution in the artificial thawing period is similar to that in a natural thawing period, though the temporal variation of the ground surface settlement exhibits a linear growth trend, which is different from that of the natural thawing period.

Key words: horizontally frozen wall, ground surface settlement, artificial thawing, stochastic medium theory, prediction method

CLC Number: 

  • TU 478
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