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

doi:10.16183/j.cnki.jsjtu.2016.01.003

Abstract

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

CLC Number:

TU745.3

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 Jiao Tong University, 2016, 50(01): 17-21,29.

Figures/Tables 8

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土层	M	κ	μ
④	0.989 7	0.011	0.20
⑤	0.472 1	0.005	0.20
⑥	1.112 5	0.042	0.47

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