Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2016 , Vol. 50 >Issue 01: 17 - 21,29

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2016.01.003

Determining Methods for Soil Parameters Based on Field Measurements in Tunnel Engineering

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  • School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai 200240, China

Received date: 2014-12-10

  Online published: 2021-06-04

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Abstract

In this paper, an efficient multi-objective back-analysis method of tunnel engineering was proposed by using the AMALGAM as the genetic algorithm, and by using the Pareto optimal theory as the evaluation criterion. The proposed method was applied to a test section of the West Changjiang Road tunnel project. Taking horizontal displacement as one objective, and ground settlement as the other, the soil parameters of the key layers were estimated using this method. The optimal solution was compared with the measured results, which proved that the multi-objective back analysis was superior to the single-objective back analysis in accuracy. Meanwhile, predictive analysis was taken based on the results of back analysis, and was verified as feasible. This method can provide references for environmental impact analysis of tunnel engineering.

Key words： tunnel engineering; environment effects; multi-objective; soil parameters

Cite this article

REN Ying-nan, CHEN Jinjian, HUANG Zhonghui, WANG Jianhua . Determining Methods for Soil Parameters Based on Field Measurements in Tunnel Engineering[J]. Journal of Shanghai Jiaotong University, 2016 , 50(01) : 17 -21,29 . DOI: 10.16183/j.cnki.jsjtu.2016.01.003

References

[1] KAVANAGH K T, CLOUGH R W. Finite element applications in the characterization of elastic solids[J]. International Journal of Solids and Structures, 1971, 7(3): 11-23.
[2] 王登刚, 刘迎曦, 李守巨. 岩土工程位移反分析的遗传算法[J]. 岩石力学与工程学报, 2000, 19(增): 979-982.
[2] WANG Denggang, LIU Yingxi, LI Shouju. Genetic algorithms for inverse analysis of displacements in geotechnical engineering[J]. Chinese Journal of Rock Mechanics and Engineering, 2000, 19(Sup): 979-982.
[3] 高炜, 郑颖人. 采用快速遗传算法进行岩土工程反分析[J]. 岩土工程学报, 2001, 23(1): 120-122.
[3] GAO Wei, ZHENG Yingren. Back analysis in geotechnical engineering based on fast-convergent genetic algorithm[J]. Chinese Journal of Geotechnical Engineering, 2001, 23(1): 120-122.
[4] 冯建龙, 张孟喜. BP网络在双连拱隧道围岩参数反分析中的应用[J]. 上海大学学报(自然科学版), 2005, 11(3): 293-297.
[4] FENG Jianlong, ZHANG Mengxi. BP neural networks applied to displacement back-analysis for two-arch tunnel[J]. Journal of Shanghai University(Natural Science), 2005, 11(3): 293-297.
[5] 闫静雅, 张子新, 黄宏伟. 京珠高速公路温泉隧道的施工监测及位移反分析[J]. 公路交通科技, 2005, 22(8): 65-69.
[5] YAN Jingya, ZHANG Zixin, HUANG Hongwei. Monitoring and back analysis of displacement of Jing zhu Expressway Wenquan Tunnel[J]. Journal of Highway and Transportation Research and Development, 2005, 22(8): 65-69.
[6] HUANG Zhonghui, ZHANG Lulu, CHENG Shiyuan. Back-analysis and parameter identification for deep excavation based on pareto multi-objective optimization[J]. Journal of Aerospace Engineering, 2014, 28(6): A4014007.
[7] VRUGT J A, ROBINSON B A. Improved evolutionary optimization from genetically adaptive multimethod search[J]. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104(3): 708-711.
[8] 陈鹏. 基于Pareto多目标遗传算法的CMOS运放优化设计[D]. 杭州: 杭州电子科技大学研究生院, 2012.
[9] MADSEN H. Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives[J]. Advances in Water Resources, 2003, 26(2): 205-216.
[10] MERTENS J, MADSEN H, FEYEN L, et al. Including prior information in the estimation of effective soil parameters in unsaturated zone modelling[J]. Journal of Hydrology, 2004, 294(4): 251-269.
[11] LIU Chao, ZHANG Zixin, REGUEIRO R A. Pile and pile group response to tunneling using a large diameter slurry shield-case study in Shanghai[J]. Computers and Geotechnics, 2014, 59: 21-43.
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