Risk assessment of slope failure considering the variability in soil properties
To assess the risk of slope failure, this study employs a rigorous method that is referred to as the random finite difference method (RFDM). The RFDM is capable of considering the spatial variability of soil properties subject to different auto-correlation structures. Comparisons with the collected...
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| Veröffentlicht in: | Computers and geotechnics 2018-11, Vol.103, p.61-72 |
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| container_title | Computers and geotechnics |
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| creator | Cheng, Hongzhan Chen, Jian Chen, Renpeng Chen, Guoliang Zhong, Yu |
| description | To assess the risk of slope failure, this study employs a rigorous method that is referred to as the random finite difference method (RFDM). The RFDM is capable of considering the spatial variability of soil properties subject to different auto-correlation structures. Comparisons with the collected data are made with respect to two idealized slopes, and a parametric analysis is presented. The results demonstrate that the spatial auto-correlation structures significantly affect the slope failure risk. Depending on the rotated angle, the rotated anisotropy auto-correlation structure shows a dual effect on the reliability of the slope compared to a transverse anisotropy case. |
| doi_str_mv | 10.1016/j.compgeo.2018.07.006 |
| format | Article |
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The RFDM is capable of considering the spatial variability of soil properties subject to different auto-correlation structures. Comparisons with the collected data are made with respect to two idealized slopes, and a parametric analysis is presented. The results demonstrate that the spatial auto-correlation structures significantly affect the slope failure risk. Depending on the rotated angle, the rotated anisotropy auto-correlation structure shows a dual effect on the reliability of the slope compared to a transverse anisotropy case.</description><identifier>ISSN: 0266-352X</identifier><identifier>EISSN: 1873-7633</identifier><identifier>DOI: 10.1016/j.compgeo.2018.07.006</identifier><language>eng</language><publisher>New York: Elsevier Ltd</publisher><subject>Anisotropy ; Auto-correlation structures ; Autocorrelation ; Correlation ; Correlation analysis ; Failure ; Finite difference method ; Parametric analysis ; Random field ; Reliability ; Risk analysis ; Risk assessment ; Slip mass ; Slope ; Slope failure ; Soil ; Soil properties ; Soils ; Spatial variations ; Variability</subject><ispartof>Computers and geotechnics, 2018-11, Vol.103, p.61-72</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier BV Nov 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-70a841118dab73be05cda92e1f3859bedae7ed9f12c55606ba2047e8f6eee5523</citedby><cites>FETCH-LOGICAL-c337t-70a841118dab73be05cda92e1f3859bedae7ed9f12c55606ba2047e8f6eee5523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0266352X1830171X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Cheng, Hongzhan</creatorcontrib><creatorcontrib>Chen, Jian</creatorcontrib><creatorcontrib>Chen, Renpeng</creatorcontrib><creatorcontrib>Chen, Guoliang</creatorcontrib><creatorcontrib>Zhong, Yu</creatorcontrib><title>Risk assessment of slope failure considering the variability in soil properties</title><title>Computers and geotechnics</title><description>To assess the risk of slope failure, this study employs a rigorous method that is referred to as the random finite difference method (RFDM). The RFDM is capable of considering the spatial variability of soil properties subject to different auto-correlation structures. Comparisons with the collected data are made with respect to two idealized slopes, and a parametric analysis is presented. The results demonstrate that the spatial auto-correlation structures significantly affect the slope failure risk. Depending on the rotated angle, the rotated anisotropy auto-correlation structure shows a dual effect on the reliability of the slope compared to a transverse anisotropy case.</description><subject>Anisotropy</subject><subject>Auto-correlation structures</subject><subject>Autocorrelation</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Failure</subject><subject>Finite difference method</subject><subject>Parametric analysis</subject><subject>Random field</subject><subject>Reliability</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Slip mass</subject><subject>Slope</subject><subject>Slope failure</subject><subject>Soil</subject><subject>Soil properties</subject><subject>Soils</subject><subject>Spatial variations</subject><subject>Variability</subject><issn>0266-352X</issn><issn>1873-7633</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkF1LwzAUhoMoOKc_QQh43ZqPNWmvRIZfMBiIgnchTU9natfMnG6wf2_Gdu_VuXmf9-U8hNxylnPG1X2Xu7DerCDkgvEyZzpnTJ2RCS-1zLSS8pxMmFAqk4X4uiRXiB1LXFVWE7J89_hDLSIgrmEYaWgp9mEDtLW-30agLgzoG4h-WNHxG-jORm9r3_txT_1AMfiebmIi4ugBr8lFa3uEm9Odks_np4_5a7ZYvrzNHxeZk1KPmWa2nHHOy8bWWtbACtfYSgBvZVlUNTQWNDRVy4UrCsVUbQWbaShbBQBFIeSU3B170_TvFnA0XdjGIU0awQVXWswUS6nimHIxIEZozSb6tY17w5k5uDOdObkzB3eGaZPcJe7hyEF6YechGnQeBgeNj-BG0wT_T8MftZF8Aw</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Cheng, Hongzhan</creator><creator>Chen, Jian</creator><creator>Chen, Renpeng</creator><creator>Chen, Guoliang</creator><creator>Zhong, Yu</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>JQ2</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201811</creationdate><title>Risk assessment of slope failure considering the variability in soil properties</title><author>Cheng, Hongzhan ; 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| ispartof | Computers and geotechnics, 2018-11, Vol.103, p.61-72 |
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| source | Elsevier ScienceDirect Journals |
| subjects | Anisotropy Auto-correlation structures Autocorrelation Correlation Correlation analysis Failure Finite difference method Parametric analysis Random field Reliability Risk analysis Risk assessment Slip mass Slope Slope failure Soil Soil properties Soils Spatial variations Variability |
| title | Risk assessment of slope failure considering the variability in soil properties |
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