Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis
High dispersion of rock mass strength causes significant difficulties in strength prediction. This study aims to investigate experimentally the strength prediction model for brittle damaged rock with multiscale initial damage based on P-wave velocity using regression analysis. Intact dolomitic limes...
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Veröffentlicht in: | Sustainability 2022-11, Vol.14 (22), p.14768 |
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description | High dispersion of rock mass strength causes significant difficulties in strength prediction. This study aims to investigate experimentally the strength prediction model for brittle damaged rock with multiscale initial damage based on P-wave velocity using regression analysis. Intact dolomitic limestone was collected from a deep metal mine in Southern China. Rock specimens with different initial damage degrees were prepared through the application of uniaxial compressive stress. Both intact rock and damaged rock specimens were tested for P-wave velocity and uniaxial compressive strength (UCS). The test results indicate that the method of prefabricating initial damage to the rock mass through uniaxial compressive stress is feasible. The UCS values of the damaged rock specimens were correlated with the square of the P-wave velocity (linearly positive) and the initial damage (linearly negative). The parameters of the new strength prediction model have a physical significance, and its results are within the upper and lower limits of the 95% confidence interval of the UCS. The strength prediction model considering multiscale initial damage based on P-wave velocity could reasonably predict the strengths of brittle rock masses. |
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This study aims to investigate experimentally the strength prediction model for brittle damaged rock with multiscale initial damage based on P-wave velocity using regression analysis. Intact dolomitic limestone was collected from a deep metal mine in Southern China. Rock specimens with different initial damage degrees were prepared through the application of uniaxial compressive stress. Both intact rock and damaged rock specimens were tested for P-wave velocity and uniaxial compressive strength (UCS). The test results indicate that the method of prefabricating initial damage to the rock mass through uniaxial compressive stress is feasible. The UCS values of the damaged rock specimens were correlated with the square of the P-wave velocity (linearly positive) and the initial damage (linearly negative). The parameters of the new strength prediction model have a physical significance, and its results are within the upper and lower limits of the 95% confidence interval of the UCS. The strength prediction model considering multiscale initial damage based on P-wave velocity could reasonably predict the strengths of brittle rock masses.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su142214768</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Brittleness ; Compressive properties ; Compressive strength ; Confidence intervals ; Crack propagation ; Dolomitic limestone ; Engineering research ; Limestone ; Prediction models ; Propagation ; Punitive damages ; Regression analysis ; Rock masses ; Rock mechanics ; Rocks ; Statistical analysis ; Sustainability ; Velocity ; Wave propagation ; Wave velocity</subject><ispartof>Sustainability, 2022-11, Vol.14 (22), p.14768</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c329t-9bb08c20bc6b0299b3bd3efd5f0576e13840ff21768586bb4f1f6345091105253</cites><orcidid>0000-0002-0777-8953 ; 0000-0002-0994-3828 ; 0000-0003-1293-6829</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Xu, Xiao</creatorcontrib><creatorcontrib>Xu, Chuanhua</creatorcontrib><creatorcontrib>Hu, Jianhua</creatorcontrib><creatorcontrib>Ma, Shaowei</creatorcontrib><creatorcontrib>Li, Yue</creatorcontrib><creatorcontrib>Wen, Lei</creatorcontrib><creatorcontrib>Wen, Guanping</creatorcontrib><title>Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis</title><title>Sustainability</title><description>High dispersion of rock mass strength causes significant difficulties in strength prediction. This study aims to investigate experimentally the strength prediction model for brittle damaged rock with multiscale initial damage based on P-wave velocity using regression analysis. Intact dolomitic limestone was collected from a deep metal mine in Southern China. Rock specimens with different initial damage degrees were prepared through the application of uniaxial compressive stress. Both intact rock and damaged rock specimens were tested for P-wave velocity and uniaxial compressive strength (UCS). The test results indicate that the method of prefabricating initial damage to the rock mass through uniaxial compressive stress is feasible. The UCS values of the damaged rock specimens were correlated with the square of the P-wave velocity (linearly positive) and the initial damage (linearly negative). The parameters of the new strength prediction model have a physical significance, and its results are within the upper and lower limits of the 95% confidence interval of the UCS. The strength prediction model considering multiscale initial damage based on P-wave velocity could reasonably predict the strengths of brittle rock masses.</description><subject>Brittleness</subject><subject>Compressive properties</subject><subject>Compressive strength</subject><subject>Confidence intervals</subject><subject>Crack propagation</subject><subject>Dolomitic limestone</subject><subject>Engineering research</subject><subject>Limestone</subject><subject>Prediction models</subject><subject>Propagation</subject><subject>Punitive damages</subject><subject>Regression analysis</subject><subject>Rock masses</subject><subject>Rock mechanics</subject><subject>Rocks</subject><subject>Statistical analysis</subject><subject>Sustainability</subject><subject>Velocity</subject><subject>Wave propagation</subject><subject>Wave velocity</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkU1PwkAQhhujiQQ5-Qc28WRMcT_abXtERCUh0YDosdm2u3WxdGFna-TfuwQOMnOYyeR5J_MRBNcEDxnL8D10JKKURAlPz4IexQkJCY7x-b_8MhgArLA3xkhGeC_YLpyVbe2-0AScXgunTYuMQo9iLWpZobkpv9HYtKAraXVbo2mrnRbNEUAPAjzlNW_hp_iR6EM2ptRuh5awp-eythJg33TUimYHGq6CCyUakINj7AfLp8n7-CWcvT5Px6NZWDKauTArCpyWFBclLzDNsoIVFZOqihWOEy4JSyOsFCV-2zjlRREpojiLYpwRvymNWT-4OfTdWLPtJLh8ZTrrh4CcJiyLkpjzxFPDA1WLRua6VcZZUXqv5FqXppVK-_ooiUgaUU65F9yeCDzj5K-rRQeQTxfzU_buwJbWAFip8o31N7a7nOB8_7P838_YH5johwQ</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Xu, Xiao</creator><creator>Xu, Chuanhua</creator><creator>Hu, Jianhua</creator><creator>Ma, Shaowei</creator><creator>Li, Yue</creator><creator>Wen, Lei</creator><creator>Wen, Guanping</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-0777-8953</orcidid><orcidid>https://orcid.org/0000-0002-0994-3828</orcidid><orcidid>https://orcid.org/0000-0003-1293-6829</orcidid></search><sort><creationdate>20221101</creationdate><title>Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis</title><author>Xu, Xiao ; Xu, Chuanhua ; Hu, Jianhua ; Ma, Shaowei ; Li, Yue ; Wen, Lei ; Wen, Guanping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c329t-9bb08c20bc6b0299b3bd3efd5f0576e13840ff21768586bb4f1f6345091105253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Brittleness</topic><topic>Compressive properties</topic><topic>Compressive strength</topic><topic>Confidence intervals</topic><topic>Crack propagation</topic><topic>Dolomitic limestone</topic><topic>Engineering research</topic><topic>Limestone</topic><topic>Prediction models</topic><topic>Propagation</topic><topic>Punitive damages</topic><topic>Regression analysis</topic><topic>Rock masses</topic><topic>Rock mechanics</topic><topic>Rocks</topic><topic>Statistical analysis</topic><topic>Sustainability</topic><topic>Velocity</topic><topic>Wave propagation</topic><topic>Wave velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Xiao</creatorcontrib><creatorcontrib>Xu, Chuanhua</creatorcontrib><creatorcontrib>Hu, Jianhua</creatorcontrib><creatorcontrib>Ma, Shaowei</creatorcontrib><creatorcontrib>Li, Yue</creatorcontrib><creatorcontrib>Wen, Lei</creatorcontrib><creatorcontrib>Wen, Guanping</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Xiao</au><au>Xu, Chuanhua</au><au>Hu, Jianhua</au><au>Ma, Shaowei</au><au>Li, Yue</au><au>Wen, Lei</au><au>Wen, Guanping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis</atitle><jtitle>Sustainability</jtitle><date>2022-11-01</date><risdate>2022</risdate><volume>14</volume><issue>22</issue><spage>14768</spage><pages>14768-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>High dispersion of rock mass strength causes significant difficulties in strength prediction. This study aims to investigate experimentally the strength prediction model for brittle damaged rock with multiscale initial damage based on P-wave velocity using regression analysis. Intact dolomitic limestone was collected from a deep metal mine in Southern China. Rock specimens with different initial damage degrees were prepared through the application of uniaxial compressive stress. Both intact rock and damaged rock specimens were tested for P-wave velocity and uniaxial compressive strength (UCS). The test results indicate that the method of prefabricating initial damage to the rock mass through uniaxial compressive stress is feasible. The UCS values of the damaged rock specimens were correlated with the square of the P-wave velocity (linearly positive) and the initial damage (linearly negative). The parameters of the new strength prediction model have a physical significance, and its results are within the upper and lower limits of the 95% confidence interval of the UCS. The strength prediction model considering multiscale initial damage based on P-wave velocity could reasonably predict the strengths of brittle rock masses.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su142214768</doi><orcidid>https://orcid.org/0000-0002-0777-8953</orcidid><orcidid>https://orcid.org/0000-0002-0994-3828</orcidid><orcidid>https://orcid.org/0000-0003-1293-6829</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Brittleness Compressive properties Compressive strength Confidence intervals Crack propagation Dolomitic limestone Engineering research Limestone Prediction models Propagation Punitive damages Regression analysis Rock masses Rock mechanics Rocks Statistical analysis Sustainability Velocity Wave propagation Wave velocity |
title | Strength Estimation of Damaged Rock Considering Initial Damage Based on P-Wave Velocity Using Regression Analysis |
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