Predictive models of ultimate and serviceability performances for underground twin caverns
The construction of a new cavern modifies the state of stresses and displacements in a zone around the existing cavern. For multiple caverns, the size of this influence zone depends on the ground type, the in situ stress, the cavern span and shape, the width of the pillar separating the caverns, and...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/81642 http://hdl.handle.net/10220/40907 |
| _version_ | 1826112055499816960 |
|---|---|
| author | Zhang, Wengang Goh, Anthony Teck Chee |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Zhang, Wengang Goh, Anthony Teck Chee |
| author_sort | Zhang, Wengang |
| collection | NTU |
| description | The construction of a new cavern modifies the state of stresses and displacements in a zone around the existing cavern. For multiple caverns, the size of this influence zone depends on the ground type, the in situ stress, the cavern span and shape, the width of the pillar separating the caverns, and the excavation sequence. Performances of underground twin caverns can be unsatisfactory as a result of either instability (collapse) or excessive displacements. These two distinct failures should be prevented in design. This study simulated the ultimate and serviceability performances of underground twin rock caverns of various sizes and shapes. The global factor of safety is used as the criterion for determining the ultimate limit state and the calculated maximum displacement around the cavern opening is adopted as the serviceability limit state criterion. Based on the results of a series of numerical simulations, simple regression models were developed for estimating the global factor of safety and the maximum displacement, respectively. It was proposed that a proper pillar width can be determined based on the threshold influence factor value. In addition, design charts with regard to the selection of the pillar width for underground twin rock caverns under similar ground conditions were also developed. |
| first_indexed | 2024-10-01T03:00:40Z |
| format | Journal Article |
| id | ntu-10356/81642 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:00:40Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/816422020-03-07T11:43:33Z Predictive models of ultimate and serviceability performances for underground twin caverns Zhang, Wengang Goh, Anthony Teck Chee School of Civil and Environmental Engineering ultimate and serviceability performances influence factor The construction of a new cavern modifies the state of stresses and displacements in a zone around the existing cavern. For multiple caverns, the size of this influence zone depends on the ground type, the in situ stress, the cavern span and shape, the width of the pillar separating the caverns, and the excavation sequence. Performances of underground twin caverns can be unsatisfactory as a result of either instability (collapse) or excessive displacements. These two distinct failures should be prevented in design. This study simulated the ultimate and serviceability performances of underground twin rock caverns of various sizes and shapes. The global factor of safety is used as the criterion for determining the ultimate limit state and the calculated maximum displacement around the cavern opening is adopted as the serviceability limit state criterion. Based on the results of a series of numerical simulations, simple regression models were developed for estimating the global factor of safety and the maximum displacement, respectively. It was proposed that a proper pillar width can be determined based on the threshold influence factor value. In addition, design charts with regard to the selection of the pillar width for underground twin rock caverns under similar ground conditions were also developed. Published version 2016-07-11T07:27:03Z 2019-12-06T14:35:26Z 2016-07-11T07:27:03Z 2019-12-06T14:35:26Z 2016 Journal Article Zhang, W., & Goh, A. T. C. (2016). Predictive models of ultimate and serviceability performances for underground twin caverns. Geomechanics and Engineering, 10(2), 175-188. 2005-307X https://hdl.handle.net/10356/81642 http://hdl.handle.net/10220/40907 10.12989/gae.2016.10.2.175 en Geomechanics and Engineering © 2016 Techno-Press. This paper was published in Geomechanics and Engineering and is made available as an electronic reprint (preprint) with permission of Techno-Press. The published version is available at: [http://dx.doi.org/10.12989/gae.2016.10.2.175]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 14 p. application/pdf |
| spellingShingle | ultimate and serviceability performances influence factor Zhang, Wengang Goh, Anthony Teck Chee Predictive models of ultimate and serviceability performances for underground twin caverns |
| title | Predictive models of ultimate and serviceability performances for underground twin caverns |
| title_full | Predictive models of ultimate and serviceability performances for underground twin caverns |
| title_fullStr | Predictive models of ultimate and serviceability performances for underground twin caverns |
| title_full_unstemmed | Predictive models of ultimate and serviceability performances for underground twin caverns |
| title_short | Predictive models of ultimate and serviceability performances for underground twin caverns |
| title_sort | predictive models of ultimate and serviceability performances for underground twin caverns |
| topic | ultimate and serviceability performances influence factor |
| url | https://hdl.handle.net/10356/81642 http://hdl.handle.net/10220/40907 |
| work_keys_str_mv | AT zhangwengang predictivemodelsofultimateandserviceabilityperformancesforundergroundtwincaverns AT gohanthonyteckchee predictivemodelsofultimateandserviceabilityperformancesforundergroundtwincaverns |