Stochastic Stability Analysis of Tunnels Considering Randomness of Rock Mass Properties
2021 (English)In: Journal of Mining and Environment, ISSN 2251-8592, Vol. 12, no 4, p. 1121-1139Article in journal (Refereed) Published
Abstract [en]
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 100%, 68.8%, 16.2%, and 20.9%, 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.
Place, publisher, year, edition, pages
Shahrood University of Technology , 2021. Vol. 12, no 4, p. 1121-1139
Keywords [en]
Finite difference method, Monte Carlo simulation, Probabilistic stability analysis, Rock mass property variability, Underground excavations
National Category
Mineral and Mine Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-89156DOI: 10.22044/jme.2021.11310.2113ISI: 000754081200003Scopus ID: 2-s2.0-85123343343OAI: oai:DiVA.org:ltu-89156DiVA, id: diva2:1642501
Note
Validerad;2022;Nivå 2;2022-03-07 (johcin)
2022-03-072022-03-072022-04-12Bibliographically approved