Influence of rotated anisotropy on slope reliability evaluation using conditional random field
Due to various geological processes, rotation of anisotropic soil fabric is commonly observed in nature. This paper investigates the effect of rotated anisotropy on slope reliability evaluation that considers conditional random field. In this investigation, slopes under undrained and drained conditi...
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| Veröffentlicht in: | Computers and geotechnics 2019-11, Vol.115, p.103133, Article 103133 |
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| creator | Huang, L. Cheng, Y.M. Leung, Y.F. Li, L. |
| description | Due to various geological processes, rotation of anisotropic soil fabric is commonly observed in nature. This paper investigates the effect of rotated anisotropy on slope reliability evaluation that considers conditional random field. In this investigation, slopes under undrained and drained conditions are studied under two kinds of sampling patterns. It is observed that the rotated anisotropy is a significant factor that influence the conditional simulation. For the conditional simulation, the uncertainty of the factor of safety (FS) and failure scale is generally the highest when the sampling points are distributed along the fabric orientation, and under such circumstance, the corresponding probability of failure Pf is observed to be the highest. Besides, a given sampling pattern leading to the uncertainty reduction relative to the unconditional simulation under the commonly investigated horizontal fabric pattern may not guarantee the uncertainty reduction under other fabric patterns for anisotropically deposited soils. Also, it is interesting to observe that due to the controlling to uncertainty by the conditional simulation, under rotated anisotropy a dip slope may be estimated to be safer than a reverse slope, and for a given fabric orientation, different sampling patterns may lead to significantly different probabilities of failure. |
| doi_str_mv | 10.1016/j.compgeo.2019.103133 |
| format | Article |
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This paper investigates the effect of rotated anisotropy on slope reliability evaluation that considers conditional random field. In this investigation, slopes under undrained and drained conditions are studied under two kinds of sampling patterns. It is observed that the rotated anisotropy is a significant factor that influence the conditional simulation. For the conditional simulation, the uncertainty of the factor of safety (FS) and failure scale is generally the highest when the sampling points are distributed along the fabric orientation, and under such circumstance, the corresponding probability of failure Pf is observed to be the highest. Besides, a given sampling pattern leading to the uncertainty reduction relative to the unconditional simulation under the commonly investigated horizontal fabric pattern may not guarantee the uncertainty reduction under other fabric patterns for anisotropically deposited soils. Also, it is interesting to observe that due to the controlling to uncertainty by the conditional simulation, under rotated anisotropy a dip slope may be estimated to be safer than a reverse slope, and for a given fabric orientation, different sampling patterns may lead to significantly different probabilities of failure.</description><identifier>ISSN: 0266-352X</identifier><identifier>EISSN: 1873-7633</identifier><identifier>DOI: 10.1016/j.compgeo.2019.103133</identifier><language>eng</language><publisher>New York: Elsevier Ltd</publisher><subject>Anisotropic soils ; Anisotropy ; Conditional random field ; Conditional random fields ; Evaluation ; Fabric orientation ; Fabrics ; Failure scale ; Geological processes ; Investigations ; Orientation ; Probability of failure ; Probability theory ; Reduction ; Reliability ; Reliability analysis ; Reliability aspects ; Rotated anisotropy ; Sampling ; Simulation ; Soil ; Soil investigations ; Uncertainty ; Uncertainty reduction</subject><ispartof>Computers and geotechnics, 2019-11, Vol.115, p.103133, Article 103133</ispartof><rights>2019</rights><rights>Copyright Elsevier BV Nov 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-76c362bc00159ff2e9a48750d56075f0c922bceb146ec00aa048a7c21f52eb023</citedby><cites>FETCH-LOGICAL-c337t-76c362bc00159ff2e9a48750d56075f0c922bceb146ec00aa048a7c21f52eb023</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0266352X19301971$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Huang, L.</creatorcontrib><creatorcontrib>Cheng, Y.M.</creatorcontrib><creatorcontrib>Leung, Y.F.</creatorcontrib><creatorcontrib>Li, L.</creatorcontrib><title>Influence of rotated anisotropy on slope reliability evaluation using conditional random field</title><title>Computers and geotechnics</title><description>Due to various geological processes, rotation of anisotropic soil fabric is commonly observed in nature. This paper investigates the effect of rotated anisotropy on slope reliability evaluation that considers conditional random field. In this investigation, slopes under undrained and drained conditions are studied under two kinds of sampling patterns. It is observed that the rotated anisotropy is a significant factor that influence the conditional simulation. For the conditional simulation, the uncertainty of the factor of safety (FS) and failure scale is generally the highest when the sampling points are distributed along the fabric orientation, and under such circumstance, the corresponding probability of failure Pf is observed to be the highest. Besides, a given sampling pattern leading to the uncertainty reduction relative to the unconditional simulation under the commonly investigated horizontal fabric pattern may not guarantee the uncertainty reduction under other fabric patterns for anisotropically deposited soils. Also, it is interesting to observe that due to the controlling to uncertainty by the conditional simulation, under rotated anisotropy a dip slope may be estimated to be safer than a reverse slope, and for a given fabric orientation, different sampling patterns may lead to significantly different probabilities of failure.</description><subject>Anisotropic soils</subject><subject>Anisotropy</subject><subject>Conditional random field</subject><subject>Conditional random fields</subject><subject>Evaluation</subject><subject>Fabric orientation</subject><subject>Fabrics</subject><subject>Failure scale</subject><subject>Geological processes</subject><subject>Investigations</subject><subject>Orientation</subject><subject>Probability of failure</subject><subject>Probability theory</subject><subject>Reduction</subject><subject>Reliability</subject><subject>Reliability analysis</subject><subject>Reliability aspects</subject><subject>Rotated anisotropy</subject><subject>Sampling</subject><subject>Simulation</subject><subject>Soil</subject><subject>Soil investigations</subject><subject>Uncertainty</subject><subject>Uncertainty reduction</subject><issn>0266-352X</issn><issn>1873-7633</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkFtLAzEQhYMoWKs_QQj43JrLZi9PIsVLoeCLgk-GbHZSsmw3a5It9N-bZfvu0zAz5wxnPoTuKVlTQvPHdq3dYdiDWzNCqzTjlPMLtKBlwVdFzvklWhCW5ysu2Pc1ugmhJclXldUC_Wx7043Qa8DOYO-iitBg1dvgonfDCbseh84NgD10VtW2s_GE4ai6UUWblmOw_R5r1zd26lWHveobd8DGQtfcoiujugB357pEX68vn5v31e7jbbt53q0050VMITXPWa1TLFEZw6BSWVkI0oicFMIQXbG0hZpmOSSRUiQrVaEZNYJBTRhfoof57uDd7wghytaNPqUJkvGMU1pUTCSVmFXauxA8GDl4e1D-JCmRE0rZyjNKOaGUM8rke5p9kF44WvAyaDsxa6wHHWXj7D8X_gD3EIC1</recordid><startdate>201911</startdate><enddate>201911</enddate><creator>Huang, L.</creator><creator>Cheng, Y.M.</creator><creator>Leung, Y.F.</creator><creator>Li, L.</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>201911</creationdate><title>Influence of rotated anisotropy on slope reliability evaluation using conditional random field</title><author>Huang, L. ; Cheng, Y.M. ; Leung, Y.F. ; Li, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-76c362bc00159ff2e9a48750d56075f0c922bceb146ec00aa048a7c21f52eb023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Anisotropic soils</topic><topic>Anisotropy</topic><topic>Conditional random field</topic><topic>Conditional random fields</topic><topic>Evaluation</topic><topic>Fabric orientation</topic><topic>Fabrics</topic><topic>Failure scale</topic><topic>Geological processes</topic><topic>Investigations</topic><topic>Orientation</topic><topic>Probability of failure</topic><topic>Probability theory</topic><topic>Reduction</topic><topic>Reliability</topic><topic>Reliability analysis</topic><topic>Reliability aspects</topic><topic>Rotated anisotropy</topic><topic>Sampling</topic><topic>Simulation</topic><topic>Soil</topic><topic>Soil investigations</topic><topic>Uncertainty</topic><topic>Uncertainty reduction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, L.</creatorcontrib><creatorcontrib>Cheng, Y.M.</creatorcontrib><creatorcontrib>Leung, Y.F.</creatorcontrib><creatorcontrib>Li, L.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers and geotechnics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, L.</au><au>Cheng, Y.M.</au><au>Leung, Y.F.</au><au>Li, L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of rotated anisotropy on slope reliability evaluation using conditional random field</atitle><jtitle>Computers and geotechnics</jtitle><date>2019-11</date><risdate>2019</risdate><volume>115</volume><spage>103133</spage><pages>103133-</pages><artnum>103133</artnum><issn>0266-352X</issn><eissn>1873-7633</eissn><abstract>Due to various geological processes, rotation of anisotropic soil fabric is commonly observed in nature. This paper investigates the effect of rotated anisotropy on slope reliability evaluation that considers conditional random field. In this investigation, slopes under undrained and drained conditions are studied under two kinds of sampling patterns. It is observed that the rotated anisotropy is a significant factor that influence the conditional simulation. For the conditional simulation, the uncertainty of the factor of safety (FS) and failure scale is generally the highest when the sampling points are distributed along the fabric orientation, and under such circumstance, the corresponding probability of failure Pf is observed to be the highest. Besides, a given sampling pattern leading to the uncertainty reduction relative to the unconditional simulation under the commonly investigated horizontal fabric pattern may not guarantee the uncertainty reduction under other fabric patterns for anisotropically deposited soils. Also, it is interesting to observe that due to the controlling to uncertainty by the conditional simulation, under rotated anisotropy a dip slope may be estimated to be safer than a reverse slope, and for a given fabric orientation, different sampling patterns may lead to significantly different probabilities of failure.</abstract><cop>New York</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.compgeo.2019.103133</doi></addata></record> |
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| subjects | Anisotropic soils Anisotropy Conditional random field Conditional random fields Evaluation Fabric orientation Fabrics Failure scale Geological processes Investigations Orientation Probability of failure Probability theory Reduction Reliability Reliability analysis Reliability aspects Rotated anisotropy Sampling Simulation Soil Soil investigations Uncertainty Uncertainty reduction |
| title | Influence of rotated anisotropy on slope reliability evaluation using conditional random field |
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