Probabilistic assessment of stability of underground rock caverns and cavern shape optimization

The global stability of underground rock cavern excavated in a Mohr-Coulomb material is investigated by means of Universal Distinct Element Code (UDEC) in this paper. The following stochastic variables are considered: the friction angle, the cohesion, the deformation modulus of the rock mass and the...

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Main Authors: Wong, J. Y. K., Goh, Anthony Teck Chee, Zhang, Wengang
Other Authors: School of Civil and Environmental Engineering
Format: Conference or Workshop Item
Language:English
Published: 2012
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Online Access:https://hdl.handle.net/10356/97247
http://hdl.handle.net/10220/8587
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-972472020-03-07T11:43:28Z Probabilistic assessment of stability of underground rock caverns and cavern shape optimization Wong, J. Y. K. Goh, Anthony Teck Chee Zhang, Wengang School of Civil and Environmental Engineering ISRM International Congress on Rock Mechanics (12th : 2011 : Beijing, China) DRNTU::Engineering::Civil engineering The global stability of underground rock cavern excavated in a Mohr-Coulomb material is investigated by means of Universal Distinct Element Code (UDEC) in this paper. The following stochastic variables are considered: the friction angle, the cohesion, the deformation modulus of the rock mass and the in-situ stress ratio. The overburden thickness, the unit weight of rock materials, the Poisson’s ratio and the joint strength are assumed as deterministic. The cavern width and height are also assumed as uncertain variables in order to optimize the shape of the rock cavern. Most cavern shapes are horse-shoe or bullet-head shaped. It is widely argued that the use of a flat-arch cavern would make the best use of cavern space. Thus for this study, the initial cavern width and height are set as 30m and 18m, respectively. The influences of the flattening process on cavern stability can be investigated through incremental increases in the cavern width and reduction in the cavern height through six design levels to assess the changes of safety factor and probability of failure. For each configuration of the six levels, the probability of failure is determined by Monte Carlo simulation incorporated by neural network results. The configuration satisfying the critical safety factor and the expected performance level with the flattest cavern roof can be termed as the optimal design. It is also suggested that the critical factor of safety and the targeted performance level be used together, as complementary measures of acceptable design. Accepted version 2012-09-20T03:15:47Z 2019-12-06T19:40:34Z 2012-09-20T03:15:47Z 2019-12-06T19:40:34Z 2011 2011 Conference Paper Zhang, W., Goh, A. T. C., & Wong, J. Y. K. (2011). Probabilistic assessment of stability of underground rock caverns and cavern shape optimization. Harmonising Rock Engineering and the Environment, 12th ISRM International Congress on Rock Mechanics (Beijing, China, 2011). https://hdl.handle.net/10356/97247 http://hdl.handle.net/10220/8587 10.1201/b11646-349 166457 en © 2011 Taylor & Francis Group. This is the author created version of a work that has been peer reviewed and accepted for publication by 12th ISRM International Congress on Rock Mechanics, Taylor & Francis Group. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: http://dx.doi.org/10.1201/b11646-349.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering
spellingShingle DRNTU::Engineering::Civil engineering
Wong, J. Y. K.
Goh, Anthony Teck Chee
Zhang, Wengang
Probabilistic assessment of stability of underground rock caverns and cavern shape optimization
description The global stability of underground rock cavern excavated in a Mohr-Coulomb material is investigated by means of Universal Distinct Element Code (UDEC) in this paper. The following stochastic variables are considered: the friction angle, the cohesion, the deformation modulus of the rock mass and the in-situ stress ratio. The overburden thickness, the unit weight of rock materials, the Poisson’s ratio and the joint strength are assumed as deterministic. The cavern width and height are also assumed as uncertain variables in order to optimize the shape of the rock cavern. Most cavern shapes are horse-shoe or bullet-head shaped. It is widely argued that the use of a flat-arch cavern would make the best use of cavern space. Thus for this study, the initial cavern width and height are set as 30m and 18m, respectively. The influences of the flattening process on cavern stability can be investigated through incremental increases in the cavern width and reduction in the cavern height through six design levels to assess the changes of safety factor and probability of failure. For each configuration of the six levels, the probability of failure is determined by Monte Carlo simulation incorporated by neural network results. The configuration satisfying the critical safety factor and the expected performance level with the flattest cavern roof can be termed as the optimal design. It is also suggested that the critical factor of safety and the targeted performance level be used together, as complementary measures of acceptable design.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Wong, J. Y. K.
Goh, Anthony Teck Chee
Zhang, Wengang
format Conference or Workshop Item
author Wong, J. Y. K.
Goh, Anthony Teck Chee
Zhang, Wengang
author_sort Wong, J. Y. K.
title Probabilistic assessment of stability of underground rock caverns and cavern shape optimization
title_short Probabilistic assessment of stability of underground rock caverns and cavern shape optimization
title_full Probabilistic assessment of stability of underground rock caverns and cavern shape optimization
title_fullStr Probabilistic assessment of stability of underground rock caverns and cavern shape optimization
title_full_unstemmed Probabilistic assessment of stability of underground rock caverns and cavern shape optimization
title_sort probabilistic assessment of stability of underground rock caverns and cavern shape optimization
publishDate 2012
url https://hdl.handle.net/10356/97247
http://hdl.handle.net/10220/8587
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