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Comparison of three different deconvolution methods for analyzing nanoindentation test data of hydrated cement paste
The micromechanical properties of hydrated cement paste were investigated by nanoindentation with a large data set (4000 indentation points) to reveal the influences of multiple factors on analysis results. Three different deconvolution analysis methods, i.e. the Gaussian mixture model (GMM) with th...
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Published in: | Cement & concrete composites 2023-04, Vol.138, p.104990, Article 104990 |
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description | The micromechanical properties of hydrated cement paste were investigated by nanoindentation with a large data set (4000 indentation points) to reveal the influences of multiple factors on analysis results. Three different deconvolution analysis methods, i.e. the Gaussian mixture model (GMM) with the maximum likelihood evaluation (MLE) algorithm, the probability distribution function (PDF) and the cumulative distribution function (CDF) with least square estimate (LSE) algorithm, were employed to analyze the nanoindentation test data. It was found that the GMM with a diagonal-unshared matrix is the most appropriate for the deconvolution of nanoindentation data of hydrated cement paste for the MLE algorithm. The PDF and CDF methods are equally effective for the LSE algorithm, but the former is subjected to the influences of bin sizes and the optimal bin size is 1.5–2 GPa for elastic modulus and 0.075–0.1 GPa for hardness. The threshold number of indentation points necessary to obtain reliable micromechanical parameters and phase contents by all three deconvolution methods is approximately 800-1000, significantly higher than the values used in the literature. The phase content seems to show more variations than elastic modulus and hardness when the number of indentation point is insufficient. With sufficient number of indentation points, the three different deconvolution methods give consistent results regarding the properties and contents of six phases identified. The various phase contents calculated by deconvolution of nanoindentation test data are in reasonable agreement with that estimated by QXRD and SEM except for the pore phase. |
doi_str_mv | 10.1016/j.cemconcomp.2023.104990 |
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Three different deconvolution analysis methods, i.e. the Gaussian mixture model (GMM) with the maximum likelihood evaluation (MLE) algorithm, the probability distribution function (PDF) and the cumulative distribution function (CDF) with least square estimate (LSE) algorithm, were employed to analyze the nanoindentation test data. It was found that the GMM with a diagonal-unshared matrix is the most appropriate for the deconvolution of nanoindentation data of hydrated cement paste for the MLE algorithm. The PDF and CDF methods are equally effective for the LSE algorithm, but the former is subjected to the influences of bin sizes and the optimal bin size is 1.5–2 GPa for elastic modulus and 0.075–0.1 GPa for hardness. The threshold number of indentation points necessary to obtain reliable micromechanical parameters and phase contents by all three deconvolution methods is approximately 800-1000, significantly higher than the values used in the literature. The phase content seems to show more variations than elastic modulus and hardness when the number of indentation point is insufficient. With sufficient number of indentation points, the three different deconvolution methods give consistent results regarding the properties and contents of six phases identified. The various phase contents calculated by deconvolution of nanoindentation test data are in reasonable agreement with that estimated by QXRD and SEM except for the pore phase.</description><identifier>ISSN: 0958-9465</identifier><identifier>EISSN: 1873-393X</identifier><identifier>DOI: 10.1016/j.cemconcomp.2023.104990</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Bin size ; Deconvolution analysis method ; Gaussian mixture model ; Micromechanical properties ; Nanoindentation</subject><ispartof>Cement & concrete composites, 2023-04, Vol.138, p.104990, Article 104990</ispartof><rights>2023 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c318t-3b959fb0e907587b733b7078d7838859c7815a796d868db89a4c7d213c0d9b353</citedby><cites>FETCH-LOGICAL-c318t-3b959fb0e907587b733b7078d7838859c7815a796d868db89a4c7d213c0d9b353</cites><orcidid>0000-0002-8002-4971 ; 0000-0002-9590-0292 ; 0000-0003-2002-677X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhang, Zhen</creatorcontrib><creatorcontrib>Qin, Jiankun</creatorcontrib><creatorcontrib>Ma, Zhaoyang</creatorcontrib><creatorcontrib>Pang, Xueyu</creatorcontrib><creatorcontrib>Zhou, Yongle</creatorcontrib><title>Comparison of three different deconvolution methods for analyzing nanoindentation test data of hydrated cement paste</title><title>Cement & concrete composites</title><description>The micromechanical properties of hydrated cement paste were investigated by nanoindentation with a large data set (4000 indentation points) to reveal the influences of multiple factors on analysis results. Three different deconvolution analysis methods, i.e. the Gaussian mixture model (GMM) with the maximum likelihood evaluation (MLE) algorithm, the probability distribution function (PDF) and the cumulative distribution function (CDF) with least square estimate (LSE) algorithm, were employed to analyze the nanoindentation test data. It was found that the GMM with a diagonal-unshared matrix is the most appropriate for the deconvolution of nanoindentation data of hydrated cement paste for the MLE algorithm. The PDF and CDF methods are equally effective for the LSE algorithm, but the former is subjected to the influences of bin sizes and the optimal bin size is 1.5–2 GPa for elastic modulus and 0.075–0.1 GPa for hardness. The threshold number of indentation points necessary to obtain reliable micromechanical parameters and phase contents by all three deconvolution methods is approximately 800-1000, significantly higher than the values used in the literature. The phase content seems to show more variations than elastic modulus and hardness when the number of indentation point is insufficient. With sufficient number of indentation points, the three different deconvolution methods give consistent results regarding the properties and contents of six phases identified. The various phase contents calculated by deconvolution of nanoindentation test data are in reasonable agreement with that estimated by QXRD and SEM except for the pore phase.</description><subject>Bin size</subject><subject>Deconvolution analysis method</subject><subject>Gaussian mixture model</subject><subject>Micromechanical properties</subject><subject>Nanoindentation</subject><issn>0958-9465</issn><issn>1873-393X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkM1KAzEUhYMoWKvvkBeYmkxmJslSiz-FghsFdyGT3LEpnaQksVCf3owVXLq6cDnfx-EghClZUEK72-3CwGiCN2HcL2pSs_JupCRnaEYFZxWT7P0czYhsRSWbrr1EVyltCSFdw-sZysvC6ehS8DgMOG8iALZuGCCCz9hCUR_C7jO7Ehghb4JNeAgRa693xy_nP7DXPjhvS1z_pDKkAuqsJ-HmaKPOYHFpOQn3OmW4RheD3iW4-b1z9Pb48Lp8rtYvT6vl3boyjIpcsV62cugJSMJbwXvOWM8JF5YLJkQrDRe01Vx2VnTC9kLqxnBbU2aIlT1r2RyJk9fEkFKEQe2jG3U8KkrUtJ7aqr_11LSeOq1X0PsTCqXfwUFUyTjwBqyLYLKywf0v-Qbn-oCf</recordid><startdate>202304</startdate><enddate>202304</enddate><creator>Zhang, Zhen</creator><creator>Qin, Jiankun</creator><creator>Ma, Zhaoyang</creator><creator>Pang, Xueyu</creator><creator>Zhou, Yongle</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-8002-4971</orcidid><orcidid>https://orcid.org/0000-0002-9590-0292</orcidid><orcidid>https://orcid.org/0000-0003-2002-677X</orcidid></search><sort><creationdate>202304</creationdate><title>Comparison of three different deconvolution methods for analyzing nanoindentation test data of hydrated cement paste</title><author>Zhang, Zhen ; Qin, Jiankun ; Ma, Zhaoyang ; Pang, Xueyu ; Zhou, Yongle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c318t-3b959fb0e907587b733b7078d7838859c7815a796d868db89a4c7d213c0d9b353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bin size</topic><topic>Deconvolution analysis method</topic><topic>Gaussian mixture model</topic><topic>Micromechanical properties</topic><topic>Nanoindentation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Zhen</creatorcontrib><creatorcontrib>Qin, Jiankun</creatorcontrib><creatorcontrib>Ma, Zhaoyang</creatorcontrib><creatorcontrib>Pang, Xueyu</creatorcontrib><creatorcontrib>Zhou, Yongle</creatorcontrib><collection>CrossRef</collection><jtitle>Cement & concrete composites</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Zhen</au><au>Qin, Jiankun</au><au>Ma, Zhaoyang</au><au>Pang, Xueyu</au><au>Zhou, Yongle</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of three different deconvolution methods for analyzing nanoindentation test data of hydrated cement paste</atitle><jtitle>Cement & concrete composites</jtitle><date>2023-04</date><risdate>2023</risdate><volume>138</volume><spage>104990</spage><pages>104990-</pages><artnum>104990</artnum><issn>0958-9465</issn><eissn>1873-393X</eissn><abstract>The micromechanical properties of hydrated cement paste were investigated by nanoindentation with a large data set (4000 indentation points) to reveal the influences of multiple factors on analysis results. Three different deconvolution analysis methods, i.e. the Gaussian mixture model (GMM) with the maximum likelihood evaluation (MLE) algorithm, the probability distribution function (PDF) and the cumulative distribution function (CDF) with least square estimate (LSE) algorithm, were employed to analyze the nanoindentation test data. It was found that the GMM with a diagonal-unshared matrix is the most appropriate for the deconvolution of nanoindentation data of hydrated cement paste for the MLE algorithm. The PDF and CDF methods are equally effective for the LSE algorithm, but the former is subjected to the influences of bin sizes and the optimal bin size is 1.5–2 GPa for elastic modulus and 0.075–0.1 GPa for hardness. The threshold number of indentation points necessary to obtain reliable micromechanical parameters and phase contents by all three deconvolution methods is approximately 800-1000, significantly higher than the values used in the literature. The phase content seems to show more variations than elastic modulus and hardness when the number of indentation point is insufficient. With sufficient number of indentation points, the three different deconvolution methods give consistent results regarding the properties and contents of six phases identified. The various phase contents calculated by deconvolution of nanoindentation test data are in reasonable agreement with that estimated by QXRD and SEM except for the pore phase.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.cemconcomp.2023.104990</doi><orcidid>https://orcid.org/0000-0002-8002-4971</orcidid><orcidid>https://orcid.org/0000-0002-9590-0292</orcidid><orcidid>https://orcid.org/0000-0003-2002-677X</orcidid></addata></record> |
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subjects | Bin size Deconvolution analysis method Gaussian mixture model Micromechanical properties Nanoindentation |
title | Comparison of three different deconvolution methods for analyzing nanoindentation test data of hydrated cement paste |
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