Reliability assessment on stability of tunnelling perpendicularly beneath an existing tunnel considering spatial variabilities of rock mass properties
This paper presents a simplified procedure to evaluate the failure probability of crossing tunnels considering the spatial variabilities of rock mass properties. Numerical package FLAC3D (Itasca, 2017) was adopted to carry out extensive parameter studies for crossing tunnels. Subsequently, two limit...
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| Veröffentlicht in: | Tunnelling and underground space technology 2019-06, Vol.88, p.276-289 |
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| creator | Chen, Fuyong Wang, Lin Zhang, Wengang |
| description | This paper presents a simplified procedure to evaluate the failure probability of crossing tunnels considering the spatial variabilities of rock mass properties. Numerical package FLAC3D (Itasca, 2017) was adopted to carry out extensive parameter studies for crossing tunnels. Subsequently, two limit state functions have been developed via the logarithmic regression to estimate the global factor of safety as well as the induced maximum settlement of the existing tunnel. The developed surrogate models were implemented into the Excel First-Order Reliability Method (FORM) spreadsheet to calculate the ultimate limit state failure and the probability that the threshold maximum settlement value is exceeded. The variance reduction technique is incorporated into the FORM analysis for considering the spatial variabilities of rock mass properties. Based on the reliability results, a sensitivity analysis was carried out to determine the critical design factor in construction of crossing tunnel. The proposed method provides an effective way to evaluate the safety and serviceability of tunnelling perpendicularly beneath an existing tunnel in spatial variable rock mass. |
| doi_str_mv | 10.1016/j.tust.2019.03.013 |
| format | Article |
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Numerical package FLAC3D (Itasca, 2017) was adopted to carry out extensive parameter studies for crossing tunnels. Subsequently, two limit state functions have been developed via the logarithmic regression to estimate the global factor of safety as well as the induced maximum settlement of the existing tunnel. The developed surrogate models were implemented into the Excel First-Order Reliability Method (FORM) spreadsheet to calculate the ultimate limit state failure and the probability that the threshold maximum settlement value is exceeded. The variance reduction technique is incorporated into the FORM analysis for considering the spatial variabilities of rock mass properties. Based on the reliability results, a sensitivity analysis was carried out to determine the critical design factor in construction of crossing tunnel. The proposed method provides an effective way to evaluate the safety and serviceability of tunnelling perpendicularly beneath an existing tunnel in spatial variable rock mass.</description><identifier>ISSN: 0886-7798</identifier><identifier>EISSN: 1878-4364</identifier><identifier>DOI: 10.1016/j.tust.2019.03.013</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Crossing tunnels ; Design factors ; Failure analysis ; FORM ; Mathematical models ; Maximum settlement ; Measures of variability ; Properties (attributes) ; Regression analysis ; Reliability ; Reliability analysis ; Reliability assessment ; Rock masses ; Rocks ; Safety ; Safety factor ; Sensitivity analysis ; Spatial variability ; Stability analysis ; Statistical analysis ; Tunnel construction ; Tunnels</subject><ispartof>Tunnelling and underground space technology, 2019-06, Vol.88, p.276-289</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jun 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a351t-f8f4286c44990f8e55fd8a3b829acee8d6798c2c8a44e76ff3cf5c6c0bdecc0e3</citedby><cites>FETCH-LOGICAL-a351t-f8f4286c44990f8e55fd8a3b829acee8d6798c2c8a44e76ff3cf5c6c0bdecc0e3</cites><orcidid>0000-0001-6051-1388</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0886779818312094$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Chen, Fuyong</creatorcontrib><creatorcontrib>Wang, Lin</creatorcontrib><creatorcontrib>Zhang, Wengang</creatorcontrib><title>Reliability assessment on stability of tunnelling perpendicularly beneath an existing tunnel considering spatial variabilities of rock mass properties</title><title>Tunnelling and underground space technology</title><description>This paper presents a simplified procedure to evaluate the failure probability of crossing tunnels considering the spatial variabilities of rock mass properties. Numerical package FLAC3D (Itasca, 2017) was adopted to carry out extensive parameter studies for crossing tunnels. Subsequently, two limit state functions have been developed via the logarithmic regression to estimate the global factor of safety as well as the induced maximum settlement of the existing tunnel. The developed surrogate models were implemented into the Excel First-Order Reliability Method (FORM) spreadsheet to calculate the ultimate limit state failure and the probability that the threshold maximum settlement value is exceeded. The variance reduction technique is incorporated into the FORM analysis for considering the spatial variabilities of rock mass properties. Based on the reliability results, a sensitivity analysis was carried out to determine the critical design factor in construction of crossing tunnel. The proposed method provides an effective way to evaluate the safety and serviceability of tunnelling perpendicularly beneath an existing tunnel in spatial variable rock mass.</description><subject>Crossing tunnels</subject><subject>Design factors</subject><subject>Failure analysis</subject><subject>FORM</subject><subject>Mathematical models</subject><subject>Maximum settlement</subject><subject>Measures of variability</subject><subject>Properties (attributes)</subject><subject>Regression analysis</subject><subject>Reliability</subject><subject>Reliability analysis</subject><subject>Reliability assessment</subject><subject>Rock masses</subject><subject>Rocks</subject><subject>Safety</subject><subject>Safety factor</subject><subject>Sensitivity analysis</subject><subject>Spatial variability</subject><subject>Stability analysis</subject><subject>Statistical analysis</subject><subject>Tunnel construction</subject><subject>Tunnels</subject><issn>0886-7798</issn><issn>1878-4364</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9UMtKxDAUDaLgOPoDrgKuW5P0lYIbEV8gCKLrkElvNGMnrbmpOD_i95oyuvVuLhzO495DyClnOWe8Pl_nccKYC8bbnBU548UeWXDZyKws6nKfLJiUddY0rTwkR4hrxlglRLsg30_QO71yvYtbqhEBcQM-0sFTjH_4YGmcvIe-d_6VjhBG8J0zU69Dv6Ur8KDjG9WewpfDOHN2dGoGj66DMEM46uh0Tz91-A10gLN1GMw73aRsOoYhmc_4MTmwukc4-d1L8nJz_Xx1lz083t5fXT5kuqh4zKy0pZC1Kcu2ZVZCVdlO6mIlRasNgOzq9LERRuqyhKa2tjC2MrVhqw6MYVAsydnON0V_TIBRrYcp-BSpRJqWy7YRiSV2LBMGxABWjcFtdNgqztTcv1qruX81969YoVL_SXSxE0G6_9NBUGgceAOdC2Ci6gb3n_wH3VqVUA</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Chen, Fuyong</creator><creator>Wang, Lin</creator><creator>Zhang, Wengang</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0001-6051-1388</orcidid></search><sort><creationdate>201906</creationdate><title>Reliability assessment on stability of tunnelling perpendicularly beneath an existing tunnel considering spatial variabilities of rock mass properties</title><author>Chen, Fuyong ; Wang, Lin ; Zhang, Wengang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a351t-f8f4286c44990f8e55fd8a3b829acee8d6798c2c8a44e76ff3cf5c6c0bdecc0e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Crossing tunnels</topic><topic>Design factors</topic><topic>Failure analysis</topic><topic>FORM</topic><topic>Mathematical models</topic><topic>Maximum settlement</topic><topic>Measures of variability</topic><topic>Properties (attributes)</topic><topic>Regression analysis</topic><topic>Reliability</topic><topic>Reliability analysis</topic><topic>Reliability assessment</topic><topic>Rock masses</topic><topic>Rocks</topic><topic>Safety</topic><topic>Safety factor</topic><topic>Sensitivity analysis</topic><topic>Spatial variability</topic><topic>Stability analysis</topic><topic>Statistical analysis</topic><topic>Tunnel construction</topic><topic>Tunnels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Fuyong</creatorcontrib><creatorcontrib>Wang, Lin</creatorcontrib><creatorcontrib>Zhang, Wengang</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Tunnelling and underground space technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Fuyong</au><au>Wang, Lin</au><au>Zhang, Wengang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability assessment on stability of tunnelling perpendicularly beneath an existing tunnel considering spatial variabilities of rock mass properties</atitle><jtitle>Tunnelling and underground space technology</jtitle><date>2019-06</date><risdate>2019</risdate><volume>88</volume><spage>276</spage><epage>289</epage><pages>276-289</pages><issn>0886-7798</issn><eissn>1878-4364</eissn><abstract>This paper presents a simplified procedure to evaluate the failure probability of crossing tunnels considering the spatial variabilities of rock mass properties. Numerical package FLAC3D (Itasca, 2017) was adopted to carry out extensive parameter studies for crossing tunnels. Subsequently, two limit state functions have been developed via the logarithmic regression to estimate the global factor of safety as well as the induced maximum settlement of the existing tunnel. The developed surrogate models were implemented into the Excel First-Order Reliability Method (FORM) spreadsheet to calculate the ultimate limit state failure and the probability that the threshold maximum settlement value is exceeded. The variance reduction technique is incorporated into the FORM analysis for considering the spatial variabilities of rock mass properties. Based on the reliability results, a sensitivity analysis was carried out to determine the critical design factor in construction of crossing tunnel. The proposed method provides an effective way to evaluate the safety and serviceability of tunnelling perpendicularly beneath an existing tunnel in spatial variable rock mass.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.tust.2019.03.013</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-6051-1388</orcidid></addata></record> |
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| ispartof | Tunnelling and underground space technology, 2019-06, Vol.88, p.276-289 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Crossing tunnels Design factors Failure analysis FORM Mathematical models Maximum settlement Measures of variability Properties (attributes) Regression analysis Reliability Reliability analysis Reliability assessment Rock masses Rocks Safety Safety factor Sensitivity analysis Spatial variability Stability analysis Statistical analysis Tunnel construction Tunnels |
| title | Reliability assessment on stability of tunnelling perpendicularly beneath an existing tunnel considering spatial variabilities of rock mass properties |
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