Assessing Stress Variability in Fractured Rock Masses with Frictional Properties and Power Law Fracture Size Distributions
The presence of fractures in rock masses plays a major role in its stress state and its variability. Each fracture potentially induces a stress perturbation, which is correlated to its geometrical and mechanical properties. This work aims to understand and quantitatively predict the relationship bet...
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creator | Lavoine, Etienne Davy, Philippe Darcel, Caroline Mas Ivars, Diego Kasani, Hossein A. |
description | The presence of fractures in rock masses plays a major role in its stress state and its variability. Each fracture potentially induces a stress perturbation, which is correlated to its geometrical and mechanical properties. This work aims to understand and quantitatively predict the relationship between fractured systems and the associated stress fluctuations distribution, considering any regional stress conditions. The approach considers the rock mass as an elastic rock matrix into which a population of discrete fractures is embedded—known as a Discrete Fracture Network (DFN) modeling approach. We develop relevant indicators and analytical solutions to quantify stress perturbations at the fracture network scale, supported by 3D numerical simulations, using various fracture size distributions. We show that stress fluctuations increase with fracture density and decrease as a function of the so-called stiffness length, a characteristic length that can be defined as the ratio between Young’s modulus of the matrix and fracture stiffness. Based on these considerations we discuss, depending on DFN parameters, which range of fractures should be modeled explicitly to account for major stress perturbations in fractured rock masses.
Highlights
Stress fluctuations in fractured rocks are predicted quantitatively from a tensorial approach.
At the fracture scale, stress fluctuations depend on fracture size, orientation with respect to the applied remote stress field, and mechanical properties.
At the network scale, stress fluctuations depend on fracture density, as well as size, orientation and mechanical property distributions. |
doi_str_mv | 10.1007/s00603-023-03683-8 |
format | Article |
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Highlights
Stress fluctuations in fractured rocks are predicted quantitatively from a tensorial approach.
At the fracture scale, stress fluctuations depend on fracture size, orientation with respect to the applied remote stress field, and mechanical properties.
At the network scale, stress fluctuations depend on fracture density, as well as size, orientation and mechanical property distributions.</description><identifier>ISSN: 0723-2632</identifier><identifier>EISSN: 1434-453X</identifier><identifier>DOI: 10.1007/s00603-023-03683-8</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Civil Engineering ; Density ; Earth and Environmental Science ; Earth Sciences ; Exact solutions ; Fluctuations ; Fractures ; Geophysics/Geodesy ; Mathematical models ; Mechanical properties ; Mechanics ; Modulus of elasticity ; Original Paper ; Perturbation ; Perturbations ; Physics ; Rock ; Rock masses ; Rocks ; Stiffness ; Stress ; Stress distribution ; Variability</subject><ispartof>Rock mechanics and rock engineering, 2024-04, Vol.57 (4), p.2407-2420</ispartof><rights>The Author(s) 2023</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c349t-a060bf31a3ed2c7181e261ea0db4be01f8ff3697e916fa3ab7ee523570cbadb3</cites><orcidid>0000-0002-5456-4130 ; 0000-0002-6648-0145</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00603-023-03683-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00603-023-03683-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://insu.hal.science/insu-04426484$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Lavoine, Etienne</creatorcontrib><creatorcontrib>Davy, Philippe</creatorcontrib><creatorcontrib>Darcel, Caroline</creatorcontrib><creatorcontrib>Mas Ivars, Diego</creatorcontrib><creatorcontrib>Kasani, Hossein A.</creatorcontrib><title>Assessing Stress Variability in Fractured Rock Masses with Frictional Properties and Power Law Fracture Size Distributions</title><title>Rock mechanics and rock engineering</title><addtitle>Rock Mech Rock Eng</addtitle><description>The presence of fractures in rock masses plays a major role in its stress state and its variability. Each fracture potentially induces a stress perturbation, which is correlated to its geometrical and mechanical properties. This work aims to understand and quantitatively predict the relationship between fractured systems and the associated stress fluctuations distribution, considering any regional stress conditions. The approach considers the rock mass as an elastic rock matrix into which a population of discrete fractures is embedded—known as a Discrete Fracture Network (DFN) modeling approach. We develop relevant indicators and analytical solutions to quantify stress perturbations at the fracture network scale, supported by 3D numerical simulations, using various fracture size distributions. We show that stress fluctuations increase with fracture density and decrease as a function of the so-called stiffness length, a characteristic length that can be defined as the ratio between Young’s modulus of the matrix and fracture stiffness. Based on these considerations we discuss, depending on DFN parameters, which range of fractures should be modeled explicitly to account for major stress perturbations in fractured rock masses.
Highlights
Stress fluctuations in fractured rocks are predicted quantitatively from a tensorial approach.
At the fracture scale, stress fluctuations depend on fracture size, orientation with respect to the applied remote stress field, and mechanical properties.
At the network scale, stress fluctuations depend on fracture density, as well as size, orientation and mechanical property distributions.</description><subject>Civil Engineering</subject><subject>Density</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Exact solutions</subject><subject>Fluctuations</subject><subject>Fractures</subject><subject>Geophysics/Geodesy</subject><subject>Mathematical models</subject><subject>Mechanical properties</subject><subject>Mechanics</subject><subject>Modulus of elasticity</subject><subject>Original Paper</subject><subject>Perturbation</subject><subject>Perturbations</subject><subject>Physics</subject><subject>Rock</subject><subject>Rock masses</subject><subject>Rocks</subject><subject>Stiffness</subject><subject>Stress</subject><subject>Stress distribution</subject><subject>Variability</subject><issn>0723-2632</issn><issn>1434-453X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kc1Lw0AQxRdRsH78A54WvAnR2czmo8ei1goVRUW8LZNk067WpO5uLPavd2tEbx6GGXi_92B4jB0JOBUA2ZkDSAEjiMNgmmOUb7GBkCgjmeDzNhtAFqQ4xXiX7Tn3AhDELB-w9cg57ZxpZvzB23DxJ7KGCrMw_pObho8tlb6zuuL3bfnKb2jD85Xx8yCZ0pu2oQW_s-1SW2-CRE3F79qVtnxKq187fzBrzS-M89YU3cblDthOTQunD3_2PnscXz6eT6Lp7dX1-WgalSiHPqLwWVGjINRVXGYiFzpOhSaoClloEHVe15gOMz0UaU1IRaZ1EmOSQVlQVeA-O-lj57RQS2veyH6qloyajKbKNK5TIGWcylx-iAAf9_DStu-ddl69tJ0NHzqFgAlCgsMsUHFPlbZ1zur6N1eA2vSh-j5U6EN996HyYMLe5ALczLT9i_7H9QV90I-a</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Lavoine, Etienne</creator><creator>Davy, Philippe</creator><creator>Darcel, Caroline</creator><creator>Mas Ivars, Diego</creator><creator>Kasani, Hossein A.</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-5456-4130</orcidid><orcidid>https://orcid.org/0000-0002-6648-0145</orcidid></search><sort><creationdate>20240401</creationdate><title>Assessing Stress Variability in Fractured Rock Masses with Frictional Properties and Power Law Fracture Size Distributions</title><author>Lavoine, Etienne ; Davy, Philippe ; Darcel, Caroline ; Mas Ivars, Diego ; Kasani, Hossein A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-a060bf31a3ed2c7181e261ea0db4be01f8ff3697e916fa3ab7ee523570cbadb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Civil Engineering</topic><topic>Density</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Exact solutions</topic><topic>Fluctuations</topic><topic>Fractures</topic><topic>Geophysics/Geodesy</topic><topic>Mathematical models</topic><topic>Mechanical properties</topic><topic>Mechanics</topic><topic>Modulus of elasticity</topic><topic>Original Paper</topic><topic>Perturbation</topic><topic>Perturbations</topic><topic>Physics</topic><topic>Rock</topic><topic>Rock masses</topic><topic>Rocks</topic><topic>Stiffness</topic><topic>Stress</topic><topic>Stress distribution</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lavoine, Etienne</creatorcontrib><creatorcontrib>Davy, Philippe</creatorcontrib><creatorcontrib>Darcel, Caroline</creatorcontrib><creatorcontrib>Mas Ivars, Diego</creatorcontrib><creatorcontrib>Kasani, Hossein A.</creatorcontrib><collection>Springer Open Access</collection><collection>CrossRef</collection><collection>Oceanic 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>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Rock mechanics and rock engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lavoine, Etienne</au><au>Davy, Philippe</au><au>Darcel, Caroline</au><au>Mas Ivars, Diego</au><au>Kasani, Hossein A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing Stress Variability in Fractured Rock Masses with Frictional Properties and Power Law Fracture Size Distributions</atitle><jtitle>Rock mechanics and rock engineering</jtitle><stitle>Rock Mech Rock Eng</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>57</volume><issue>4</issue><spage>2407</spage><epage>2420</epage><pages>2407-2420</pages><issn>0723-2632</issn><eissn>1434-453X</eissn><abstract>The presence of fractures in rock masses plays a major role in its stress state and its variability. Each fracture potentially induces a stress perturbation, which is correlated to its geometrical and mechanical properties. This work aims to understand and quantitatively predict the relationship between fractured systems and the associated stress fluctuations distribution, considering any regional stress conditions. The approach considers the rock mass as an elastic rock matrix into which a population of discrete fractures is embedded—known as a Discrete Fracture Network (DFN) modeling approach. We develop relevant indicators and analytical solutions to quantify stress perturbations at the fracture network scale, supported by 3D numerical simulations, using various fracture size distributions. We show that stress fluctuations increase with fracture density and decrease as a function of the so-called stiffness length, a characteristic length that can be defined as the ratio between Young’s modulus of the matrix and fracture stiffness. Based on these considerations we discuss, depending on DFN parameters, which range of fractures should be modeled explicitly to account for major stress perturbations in fractured rock masses.
Highlights
Stress fluctuations in fractured rocks are predicted quantitatively from a tensorial approach.
At the fracture scale, stress fluctuations depend on fracture size, orientation with respect to the applied remote stress field, and mechanical properties.
At the network scale, stress fluctuations depend on fracture density, as well as size, orientation and mechanical property distributions.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00603-023-03683-8</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-5456-4130</orcidid><orcidid>https://orcid.org/0000-0002-6648-0145</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Civil Engineering Density Earth and Environmental Science Earth Sciences Exact solutions Fluctuations Fractures Geophysics/Geodesy Mathematical models Mechanical properties Mechanics Modulus of elasticity Original Paper Perturbation Perturbations Physics Rock Rock masses Rocks Stiffness Stress Stress distribution Variability |
title | Assessing Stress Variability in Fractured Rock Masses with Frictional Properties and Power Law Fracture Size Distributions |
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