Stochastic Stability Analysis of Tunnels Considering Randomness of Rock Mass Properties
Publish place: Journal of Mining and Environment، Vol: 12، Issue: 4
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JMAE-12-4_016
تاریخ نمایه سازی: 29 فروردین 1401
Abstract:
The purpose of this work is to present an approach for the probabilistic stability analysis of tunnels considering the heterogeneity of geo-mechanical properties. A stochastic procedure is followed to account for the variability in the rock mass property characterization. The finite difference method is coupled with the Monte Carlo simulation technique to incorporate the randomness of rock mass properties. Moreover, a particular performance function is defined to investigate the excavation serviceability based on the permissible deformations. In order to validate the analysis, the probabilistic and the deterministic results are compared with the in-situ measurements. It can be observed that in both the probabilistic and deterministic analyses the largest displacements occur in the invert. In contrast, the smallest displacements are recorded in the sidewalls. Utilizing the performance function, the probability of failure for the invert, crown, left, and right wall is estimated as ۱۰۰%, ۶۸.۸%, ۱۶.۲%, and ۲۰.۹%, respectively. Comparing the measured and calculated convergences, it is conjectured that the deterministic analysis underestimates the displacements, while the measured values are very close to the mean values predicted by the probabilistic analysis. The results obtained indicate that the presented approach could be a reliable technique compared to the conventional deterministic method.
Keywords:
Underground Excavations , Probabilistic stability analysis , Rock mass properties variability , FDM , MCS
Authors
M. Mazraehli
Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran
Sh. Zare
Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran
M. Idris
Division of Mining and Geotechnical Engineering, Luleå University of Technology, Luleå, Sweden
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