Stability evaluation of rock slope based on discrete fracture network and discrete element model: a case study for the right bank of Yigong Zangbu Bridge
Distribution characteristics and strength of 3D discrete fractures have a decisive effect on the rock slope stability. How to use the fractures obtained on site to establish a 3D fractured rock slope for stability analysis is a difficult problem in the field of rock mass engineering. This study sele...
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| Veröffentlicht in: | Acta geotechnica 2022-04, Vol.17 (4), p.1423-1441 |
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| creator | Li, Yuchao Chen, Jianping Zhou, Fujun Bao, Yiding Li, Zhihai Song, Shengyuan Cao, Chen |
| description | Distribution characteristics and strength of 3D discrete fractures have a decisive effect on the rock slope stability. How to use the fractures obtained on site to establish a 3D fractured rock slope for stability analysis is a difficult problem in the field of rock mass engineering. This study selected the rock slope on the right bank of Yigong Zangbu Bridge for a detailed field investigation. Exposed joints and fractures were measured and counted. Occurrence, size, and position distribution models of the fractures were used to obtain the parameters of the spatial distribution using probability and statistic theory. Then, a complex 3D discrete fracture network (DFN) was established and simplified. After that, a 3D rock slope model was built and the DFN was used to cut the slope model. Finally, the strength reduction method was used to analyze the slope stability. The results reveal that the overall slope stability is good (safety factor is 2.0), but the local block deformations are large and are mainly concentrated in the lower part of the slope. Due to the existence of structural planes dipping outside the slope on the right bank, local unstable blocks are easily formed. In this study, the whole process from field fracture acquisition to the DFN generation is applied to the 3D fracture rock slope stability analysis, which is of great importance for complex rock mass engineering assessment and disaster prevention. |
| doi_str_mv | 10.1007/s11440-021-01369-5 |
| format | Article |
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How to use the fractures obtained on site to establish a 3D fractured rock slope for stability analysis is a difficult problem in the field of rock mass engineering. This study selected the rock slope on the right bank of Yigong Zangbu Bridge for a detailed field investigation. Exposed joints and fractures were measured and counted. Occurrence, size, and position distribution models of the fractures were used to obtain the parameters of the spatial distribution using probability and statistic theory. Then, a complex 3D discrete fracture network (DFN) was established and simplified. After that, a 3D rock slope model was built and the DFN was used to cut the slope model. Finally, the strength reduction method was used to analyze the slope stability. The results reveal that the overall slope stability is good (safety factor is 2.0), but the local block deformations are large and are mainly concentrated in the lower part of the slope. Due to the existence of structural planes dipping outside the slope on the right bank, local unstable blocks are easily formed. In this study, the whole process from field fracture acquisition to the DFN generation is applied to the 3D fracture rock slope stability analysis, which is of great importance for complex rock mass engineering assessment and disaster prevention.</description><identifier>ISSN: 1861-1125</identifier><identifier>EISSN: 1861-1133</identifier><identifier>DOI: 10.1007/s11440-021-01369-5</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Bridges ; Case studies ; Complex Fluids and Microfluidics ; Discrete element method ; Distribution ; Emergency preparedness ; Engineering ; Fault lines ; Field investigations ; Foundations ; Fractures ; Geoengineering ; Geotechnical Engineering & Applied Earth Sciences ; Hydraulics ; Joints (timber) ; Methods ; Numerical analysis ; Position measurement ; Probability distribution ; Probability theory ; Research Paper ; Rock masses ; Rocks ; Safety factors ; Slope stability ; Soft and Granular Matter ; Soil Science & Conservation ; Solid Mechanics ; Spatial distribution ; Stability analysis ; Statistical analysis ; Three dimensional models ; Topography</subject><ispartof>Acta geotechnica, 2022-04, Vol.17 (4), p.1423-1441</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a342t-7f65161266735fa8a198efcce8c5e7b972e9a77c37422d8b617335d2f88883493</citedby><cites>FETCH-LOGICAL-a342t-7f65161266735fa8a198efcce8c5e7b972e9a77c37422d8b617335d2f88883493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11440-021-01369-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11440-021-01369-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Li, Yuchao</creatorcontrib><creatorcontrib>Chen, Jianping</creatorcontrib><creatorcontrib>Zhou, Fujun</creatorcontrib><creatorcontrib>Bao, Yiding</creatorcontrib><creatorcontrib>Li, Zhihai</creatorcontrib><creatorcontrib>Song, Shengyuan</creatorcontrib><creatorcontrib>Cao, Chen</creatorcontrib><title>Stability evaluation of rock slope based on discrete fracture network and discrete element model: a case study for the right bank of Yigong Zangbu Bridge</title><title>Acta geotechnica</title><addtitle>Acta Geotech</addtitle><description>Distribution characteristics and strength of 3D discrete fractures have a decisive effect on the rock slope stability. How to use the fractures obtained on site to establish a 3D fractured rock slope for stability analysis is a difficult problem in the field of rock mass engineering. This study selected the rock slope on the right bank of Yigong Zangbu Bridge for a detailed field investigation. Exposed joints and fractures were measured and counted. Occurrence, size, and position distribution models of the fractures were used to obtain the parameters of the spatial distribution using probability and statistic theory. Then, a complex 3D discrete fracture network (DFN) was established and simplified. After that, a 3D rock slope model was built and the DFN was used to cut the slope model. Finally, the strength reduction method was used to analyze the slope stability. The results reveal that the overall slope stability is good (safety factor is 2.0), but the local block deformations are large and are mainly concentrated in the lower part of the slope. Due to the existence of structural planes dipping outside the slope on the right bank, local unstable blocks are easily formed. In this study, the whole process from field fracture acquisition to the DFN generation is applied to the 3D fracture rock slope stability analysis, which is of great importance for complex rock mass engineering assessment and disaster prevention.</description><subject>Bridges</subject><subject>Case studies</subject><subject>Complex Fluids and Microfluidics</subject><subject>Discrete element method</subject><subject>Distribution</subject><subject>Emergency preparedness</subject><subject>Engineering</subject><subject>Fault lines</subject><subject>Field investigations</subject><subject>Foundations</subject><subject>Fractures</subject><subject>Geoengineering</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydraulics</subject><subject>Joints (timber)</subject><subject>Methods</subject><subject>Numerical analysis</subject><subject>Position measurement</subject><subject>Probability distribution</subject><subject>Probability theory</subject><subject>Research Paper</subject><subject>Rock masses</subject><subject>Rocks</subject><subject>Safety factors</subject><subject>Slope stability</subject><subject>Soft and Granular Matter</subject><subject>Soil Science & Conservation</subject><subject>Solid Mechanics</subject><subject>Spatial distribution</subject><subject>Stability analysis</subject><subject>Statistical analysis</subject><subject>Three dimensional models</subject><subject>Topography</subject><issn>1861-1125</issn><issn>1861-1133</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9UU1P3DAQjSqQSqF_oKeRek7rj8ROeiurtiCtxAE40IvlOONs2Ky9tR3Q_hT-bQ2L2BvvMqOZ93F4RfGFkm-UEPk9UlpVpCSMloRy0Zb1h-KENoKWlHJ-9Laz-mPxKcZ7QgRnlTgpnq6T7sZpTDvABz3NOo3egbcQvFlDnPwWodMRe8jnfowmYEKwQZs0BwSH6dGHNWjXH7444QZdgo3vcfoBGkw2gJjmfgfWB0grhDAOq5Sd3fo57G4cvBvgr3ZDN8N5GPsBz4pjq6eIn1_naXH7-9fN4qJcXv25XPxclppXLJXSipoKyoSQvLa60bRt0BqDjalRdq1k2GopDZcVY33TCSo5r3tmmwxetfy0-Lr33Qb_b8aY1L2fg8uRiolaVBmtzCy2Z5ngYwxo1TaMGx12ihL1XIHaV6ByBeqlAlVnEd-LYia7AcPB-h3Vf25niq4</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Li, Yuchao</creator><creator>Chen, Jianping</creator><creator>Zhou, Fujun</creator><creator>Bao, Yiding</creator><creator>Li, Zhihai</creator><creator>Song, Shengyuan</creator><creator>Cao, Chen</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20220401</creationdate><title>Stability evaluation of rock slope based on discrete fracture network and discrete element model: a case study for the right bank of Yigong Zangbu Bridge</title><author>Li, Yuchao ; Chen, Jianping ; Zhou, Fujun ; Bao, Yiding ; Li, Zhihai ; Song, Shengyuan ; Cao, Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a342t-7f65161266735fa8a198efcce8c5e7b972e9a77c37422d8b617335d2f88883493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Bridges</topic><topic>Case studies</topic><topic>Complex Fluids and Microfluidics</topic><topic>Discrete element method</topic><topic>Distribution</topic><topic>Emergency preparedness</topic><topic>Engineering</topic><topic>Fault lines</topic><topic>Field investigations</topic><topic>Foundations</topic><topic>Fractures</topic><topic>Geoengineering</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydraulics</topic><topic>Joints (timber)</topic><topic>Methods</topic><topic>Numerical analysis</topic><topic>Position measurement</topic><topic>Probability distribution</topic><topic>Probability theory</topic><topic>Research Paper</topic><topic>Rock masses</topic><topic>Rocks</topic><topic>Safety factors</topic><topic>Slope stability</topic><topic>Soft and Granular Matter</topic><topic>Soil Science & Conservation</topic><topic>Solid Mechanics</topic><topic>Spatial distribution</topic><topic>Stability analysis</topic><topic>Statistical analysis</topic><topic>Three dimensional models</topic><topic>Topography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yuchao</creatorcontrib><creatorcontrib>Chen, Jianping</creatorcontrib><creatorcontrib>Zhou, Fujun</creatorcontrib><creatorcontrib>Bao, Yiding</creatorcontrib><creatorcontrib>Li, Zhihai</creatorcontrib><creatorcontrib>Song, Shengyuan</creatorcontrib><creatorcontrib>Cao, Chen</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Acta geotechnica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yuchao</au><au>Chen, Jianping</au><au>Zhou, Fujun</au><au>Bao, Yiding</au><au>Li, Zhihai</au><au>Song, Shengyuan</au><au>Cao, Chen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stability evaluation of rock slope based on discrete fracture network and discrete element model: a case study for the right bank of Yigong Zangbu Bridge</atitle><jtitle>Acta geotechnica</jtitle><stitle>Acta Geotech</stitle><date>2022-04-01</date><risdate>2022</risdate><volume>17</volume><issue>4</issue><spage>1423</spage><epage>1441</epage><pages>1423-1441</pages><issn>1861-1125</issn><eissn>1861-1133</eissn><abstract>Distribution characteristics and strength of 3D discrete fractures have a decisive effect on the rock slope stability. How to use the fractures obtained on site to establish a 3D fractured rock slope for stability analysis is a difficult problem in the field of rock mass engineering. This study selected the rock slope on the right bank of Yigong Zangbu Bridge for a detailed field investigation. Exposed joints and fractures were measured and counted. Occurrence, size, and position distribution models of the fractures were used to obtain the parameters of the spatial distribution using probability and statistic theory. Then, a complex 3D discrete fracture network (DFN) was established and simplified. After that, a 3D rock slope model was built and the DFN was used to cut the slope model. Finally, the strength reduction method was used to analyze the slope stability. The results reveal that the overall slope stability is good (safety factor is 2.0), but the local block deformations are large and are mainly concentrated in the lower part of the slope. Due to the existence of structural planes dipping outside the slope on the right bank, local unstable blocks are easily formed. In this study, the whole process from field fracture acquisition to the DFN generation is applied to the 3D fracture rock slope stability analysis, which is of great importance for complex rock mass engineering assessment and disaster prevention.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11440-021-01369-5</doi><tpages>19</tpages></addata></record> |
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| subjects | Bridges Case studies Complex Fluids and Microfluidics Discrete element method Distribution Emergency preparedness Engineering Fault lines Field investigations Foundations Fractures Geoengineering Geotechnical Engineering & Applied Earth Sciences Hydraulics Joints (timber) Methods Numerical analysis Position measurement Probability distribution Probability theory Research Paper Rock masses Rocks Safety factors Slope stability Soft and Granular Matter Soil Science & Conservation Solid Mechanics Spatial distribution Stability analysis Statistical analysis Three dimensional models Topography |
| title | Stability evaluation of rock slope based on discrete fracture network and discrete element model: a case study for the right bank of Yigong Zangbu Bridge |
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