Analysis of surface deformation characteristics of pipe-jacking construction based on random field theory

被引：2
|
作者：
Zhang X. [1 ]
Shi C. [1 ]
Sun X. [1 ]
Peng L. [1 ]
Zheng K. [1 ]
Wang Z. [1 ]
Xiao G. [1 ]
机构：
[1] School of Civil Engineering, Central South University, Changsha
来源：
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2023年 / 54卷 / 06期
基金：
中国国家自然科学基金;
关键词：
auto-correlation function; Karhunen-Loeve(KL) expansion method; pipe jacking; random field theory; surface settlement;
D O I：
10.11817/j.issn.1672-7207.2023.06.009
中图分类号：
学科分类号：
摘要：
For the surface deformation problem caused by pipe jacking construction, a random field theory based on Gaussian-type autocorrelation function and Karhunen-Loeve (KL) level expansion method was used to establish a random simulation method of soil parameters in the 3D numerical model considering the spatial variability and autocorrelation of ground parameters. Combined with specific pipe jacking construction cases,the longitudinal and transverse deformation law of the ground surface was analyzed, and the reliability of the calculation method was verified by comparing with the actual measurement results on site. The variability of friction angle, cohesion, elastic modulus of stratified soil, correlation distance and coefficient of variation on surface deformation were studied. The results show that compared with the deterministic numerical simulation, the random simulation method has better applicability in analyzing the surface deformation of pipe jacking construction. The three-dimensional random field can better reflect the spatial variability of the three dimensions and the spatial effect of pipe jacking than the two-dimensional, and obtain the probability of surface deformation exceeding the standard for each section at different jacking distances. The spatial variability of elastic modulus has greater influence on the dispersion degree and envelope range of the random curve of surface deformation, but does not change the deformation trend and law. The coefficient of variation and correlation distance have greater influence on the dispersion degree of random curve. © 2023 Central South University of Technology. All rights reserved.
引用
收藏
页码：2174 / 2189
页数：15
相关论文
共 30 条
  • [1] MA S, LI M, JIN J, Et al., The influence of shallow buried double-line parallel rectangular pipe jacking construction on ground settlement deformation, Alexandria Engineering Journal, 60, 1, pp. 1911-1916, (2021)
  • [2] LI Yongsuo, YANG Junsheng, ZHANG Keneng, Et al., Surface subsidence caused by construction of large diameter curved jacking-pipes in pipe-roof pre-construction method, Journal of Central South University(Science and Technology), 44, 11, pp. 4687-4693, (2013)
  • [3] WANG Ting, LIU Weining, ZHANG Chengman, Et al., Study on ground settlement induced by shallow metro station constructions, Chinese Journal of Rock Mechanics and Engineering, 26, 9, pp. 1855-1861, (2007)
  • [4] LOGANATHAN N., Analytical prediction for tunneling-induced ground movements in clays, Journal of Geotechnical and Geoenvironmental Engineering, 124, 9, pp. 846-856, (1998)
  • [5] SUWANSAWAT S, EINSTEIN H H., Artificial neural networks for predicting the maximum surface settlement caused by EPB shield tunneling, Tunnelling and Underground Space Technology, 21, 2, pp. 133-150, (2006)
  • [6] PECK R B., Deep excavations and tunneling in soft ground, Proceedings of 7th International Conference of Soil Mechanics and Foundation Engineering, pp. 225-290, (1969)
  • [7] JIANG Kai, HUANG Linchong, LIANG Yu, Analysis on the mechanical characteristics of long curve pipe jacking tunnel, Journal of Railway Science and Engineering, 18, 11, pp. 2963-2970, (2021)
  • [8] YU Jun, GONG Xiaonan, Numerical analysis of surface settlement control considering pipe jacking construction process, Chinese Journal of Rock Mechanics and Engineering, 33, pp. 2605-2610, (2014)
  • [9] YUAN Wei, CHANG Xiaolin, DUAN Yin, Et al., Stability analysis of slope considering spatial variation of shear strength parameters, Journal of Central South University(Science and Technology), 47, 11, pp. 3899-3908, (2016)
  • [10] ZHAO Lianheng, DONG Xiaoyang, HU Shihong, Et al., Reliability analysis of layered slope considering spatial variability, Journal of Railway Science and Engineering, 18, 12, pp. 3180-3187, (2021)
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