Improved grey correlation theory to quantitatively characterize the effect of pore parameters on compressive strength of cement Pisha sandstone
In order to objectively characterize the correlation degree of the influence of different pore parameters of cement solidified soft rock on compressive strength. The initial data of pore parameters and compressive strength are normalized by five different dimensionless methods, and the correlation d...
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creator | Liu, Xin Li, Yu Jing, Yu Wu, Yue Lv, Xin Wang, Qiang Geng, Kaiqiang |
description | In order to objectively characterize the correlation degree of the influence of different pore parameters of cement solidified soft rock on compressive strength. The initial data of pore parameters and compressive strength are normalized by five different dimensionless methods, and the correlation degree of each parameter is calculated. Based on the mode theory and spearman theory, an improved grey correlation calculation model is established to evaluate the correlation degree of pore parameters. The results show that the correlation degree between pore parameters and compressive strength of cement Pisha sandstone is in the following order: >0~0.1μm aperture ratio, bound fluid index, >1μm aperture ratio, free fluid index, T2 spectrum area, porosity and >0.1~1μm aperture ratio. The spearman rank correlation coefficients of sample C4 were 0.964, 0.536, 0.893 and 0.964 respectively; The spearman rank correlation coefficients of sample C7 were 0.964, 0.607, 0.964 and 0.893 respectively. It can be seen that “ Range Analysis “ is the best normalization method among the five dimensionless methods, and its evaluation results are most in line with the actual situation. This study provides a new mathematical method for quantitatively characterizing the grey correlation effect of pore parameters of cement-based materials on compressive strength. |
doi_str_mv | 10.1088/1742-6596/1885/3/032050 |
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The initial data of pore parameters and compressive strength are normalized by five different dimensionless methods, and the correlation degree of each parameter is calculated. Based on the mode theory and spearman theory, an improved grey correlation calculation model is established to evaluate the correlation degree of pore parameters. The results show that the correlation degree between pore parameters and compressive strength of cement Pisha sandstone is in the following order: >0~0.1μm aperture ratio, bound fluid index, >1μm aperture ratio, free fluid index, T2 spectrum area, porosity and >0.1~1μm aperture ratio. The spearman rank correlation coefficients of sample C4 were 0.964, 0.536, 0.893 and 0.964 respectively; The spearman rank correlation coefficients of sample C7 were 0.964, 0.607, 0.964 and 0.893 respectively. It can be seen that “ Range Analysis “ is the best normalization method among the five dimensionless methods, and its evaluation results are most in line with the actual situation. This study provides a new mathematical method for quantitatively characterizing the grey correlation effect of pore parameters of cement-based materials on compressive strength.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1885/3/032050</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Apertures ; Cement ; Compressive strength ; Correlation coefficients ; Parameters ; Physics ; Sandstone</subject><ispartof>Journal of physics. Conference series, 2021-04, Vol.1885 (3), p.32050</ispartof><rights>2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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-c1950-af7614904beeb79a088f0f07b4e176baa78c75df04df6d27d0040fe98d6860b73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Liu, Xin</creatorcontrib><creatorcontrib>Li, Yu</creatorcontrib><creatorcontrib>Jing, Yu</creatorcontrib><creatorcontrib>Wu, Yue</creatorcontrib><creatorcontrib>Lv, Xin</creatorcontrib><creatorcontrib>Wang, Qiang</creatorcontrib><creatorcontrib>Geng, Kaiqiang</creatorcontrib><title>Improved grey correlation theory to quantitatively characterize the effect of pore parameters on compressive strength of cement Pisha sandstone</title><title>Journal of physics. Conference series</title><description>In order to objectively characterize the correlation degree of the influence of different pore parameters of cement solidified soft rock on compressive strength. The initial data of pore parameters and compressive strength are normalized by five different dimensionless methods, and the correlation degree of each parameter is calculated. Based on the mode theory and spearman theory, an improved grey correlation calculation model is established to evaluate the correlation degree of pore parameters. The results show that the correlation degree between pore parameters and compressive strength of cement Pisha sandstone is in the following order: >0~0.1μm aperture ratio, bound fluid index, >1μm aperture ratio, free fluid index, T2 spectrum area, porosity and >0.1~1μm aperture ratio. The spearman rank correlation coefficients of sample C4 were 0.964, 0.536, 0.893 and 0.964 respectively; The spearman rank correlation coefficients of sample C7 were 0.964, 0.607, 0.964 and 0.893 respectively. It can be seen that “ Range Analysis “ is the best normalization method among the five dimensionless methods, and its evaluation results are most in line with the actual situation. This study provides a new mathematical method for quantitatively characterizing the grey correlation effect of pore parameters of cement-based materials on compressive strength.</description><subject>Apertures</subject><subject>Cement</subject><subject>Compressive strength</subject><subject>Correlation coefficients</subject><subject>Parameters</subject><subject>Physics</subject><subject>Sandstone</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNo9kNtKAzEQhoMoWKvPYMDrdSd7SvZSiodCQS_0OmSzk-6W7qZN0kJ9CV_ZLBVzkzD_lxnmI-SewSMDIVLGiyypyrpKmRBlmqeQZ1DCBZn9J5f_byGuyY33G4A8Hj4jP8th5-wRW7p2eKLaOodbFXo70tChdScaLN0f1Bj6EMtH3EaoU07pgK7_xomiaAzqQK2hO-uQ7mI8YMw9jW20jRPQ-_iX-uBwXIduQjUOOAb60ftOUa_G1gc74i25Mmrr8e7vnpOvl-fPxVuyen9dLp5WiWZ1CYkyvGJFDUWD2PBaRREGDPCmQMarRikuNC9bA0VrqjbjLUABBmvRVqKChudz8nDuG7ffH9AHubEHN8aRMiszVkHBBYsUP1PaWe8dGrlz_aDcSTKQk305eZWTYznZl7k8289_Aax3fAw</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Liu, Xin</creator><creator>Li, Yu</creator><creator>Jing, Yu</creator><creator>Wu, Yue</creator><creator>Lv, Xin</creator><creator>Wang, Qiang</creator><creator>Geng, Kaiqiang</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20210401</creationdate><title>Improved grey correlation theory to quantitatively characterize the effect of pore parameters on compressive strength of cement Pisha sandstone</title><author>Liu, Xin ; Li, Yu ; Jing, Yu ; Wu, Yue ; Lv, Xin ; Wang, Qiang ; Geng, Kaiqiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1950-af7614904beeb79a088f0f07b4e176baa78c75df04df6d27d0040fe98d6860b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Apertures</topic><topic>Cement</topic><topic>Compressive strength</topic><topic>Correlation coefficients</topic><topic>Parameters</topic><topic>Physics</topic><topic>Sandstone</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xin</creatorcontrib><creatorcontrib>Li, Yu</creatorcontrib><creatorcontrib>Jing, Yu</creatorcontrib><creatorcontrib>Wu, Yue</creatorcontrib><creatorcontrib>Lv, Xin</creatorcontrib><creatorcontrib>Wang, Qiang</creatorcontrib><creatorcontrib>Geng, Kaiqiang</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xin</au><au>Li, Yu</au><au>Jing, Yu</au><au>Wu, Yue</au><au>Lv, Xin</au><au>Wang, Qiang</au><au>Geng, Kaiqiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved grey correlation theory to quantitatively characterize the effect of pore parameters on compressive strength of cement Pisha sandstone</atitle><jtitle>Journal of physics. Conference series</jtitle><date>2021-04-01</date><risdate>2021</risdate><volume>1885</volume><issue>3</issue><spage>32050</spage><pages>32050-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>In order to objectively characterize the correlation degree of the influence of different pore parameters of cement solidified soft rock on compressive strength. The initial data of pore parameters and compressive strength are normalized by five different dimensionless methods, and the correlation degree of each parameter is calculated. Based on the mode theory and spearman theory, an improved grey correlation calculation model is established to evaluate the correlation degree of pore parameters. The results show that the correlation degree between pore parameters and compressive strength of cement Pisha sandstone is in the following order: >0~0.1μm aperture ratio, bound fluid index, >1μm aperture ratio, free fluid index, T2 spectrum area, porosity and >0.1~1μm aperture ratio. The spearman rank correlation coefficients of sample C4 were 0.964, 0.536, 0.893 and 0.964 respectively; The spearman rank correlation coefficients of sample C7 were 0.964, 0.607, 0.964 and 0.893 respectively. It can be seen that “ Range Analysis “ is the best normalization method among the five dimensionless methods, and its evaluation results are most in line with the actual situation. This study provides a new mathematical method for quantitatively characterizing the grey correlation effect of pore parameters of cement-based materials on compressive strength.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/1885/3/032050</doi><oa>free_for_read</oa></addata></record> |
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subjects | Apertures Cement Compressive strength Correlation coefficients Parameters Physics Sandstone |
title | Improved grey correlation theory to quantitatively characterize the effect of pore parameters on compressive strength of cement Pisha sandstone |
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