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A Case Study of Back-analysis Technique in Tunnelling Using Extended Bayesian Method and Relative Convergence Measurement  

Lee In-Mo (Dept. of Civil and Environmental Engrg., Korea Univ.)
Choi Min-Kwang (Yongma Engrg.)
Cho Kook-Hwan (Dept. of Structural Engrg., Co. Ltd., Seoul National Univ. of Technology)
Lee Geun-Ha (POSCO Engrg. & Construction Co. Ltd.)
Choi Chung-Sik (POSCO Engrg. & Construction Co. Ltd.)
Publication Information
Journal of the Korean Geotechnical Society / v.21, no.3, 2005 , pp. 109-118 More about this Journal
Abstract
It is a very difficult task to estimate engineering properties of the ground when designing underground structures, especially in tunnelling. Therefore, a feed-back system to combine the data measured in construction field with priorly estimated information at the design stage is necessary. In this paper, 3-dimensional back-analysis in tunnelling, to which only relative convergence is applied as input values, is carried out to estimate the optimum geotechnical parameters. For this purpose, the Extended Bayesian Method (EBM), which appropriately combines the objective information with the subjective one, is applied to optimize engineering parameters and 3-dimensional numerical analysis is carried out to predict a trend of relative convergence occurrence. The data measured from two tunnelling sites are used to verify the applicability of the proposed back-analysis technique. from the results of analysis, the proposed back-analysis technique is verified.
Keywords
Back-analysis; Numerical analysis; Parameter estimation; Relative convergence;
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