Statistical model for characterizing random microstructure of inclusion-matrix composites
The variation of arrangement of micro-structural entities (i.e. inclusions) influences local properties of composites. Thus, there is a need to classify and quantify different micro-structural arrangements. In other words, it is necessary to identify descriptors that characterize the spatial dispers...
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| Veröffentlicht in: | Journal of materials science 2007-08, Vol.42 (16), p.7016-7030 |
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| creator | AL-OSTAZ, Ahmed DIWAKAR, Anipindi ALZEBDEH, Khalid I |
| description | The variation of arrangement of micro-structural entities (i.e. inclusions) influences local properties of composites. Thus, there is a need to classify and quantify different micro-structural arrangements. In other words, it is necessary to identify descriptors that characterize the spatial dispersion of inclusions in random composites. On the other hand, Delaunay triangulation associated with an arbitrary set of points in a plane is unique which makes it a good candidate for generating such descriptors. This paper presents a framework for establishing a methodology for characterizing microstructure morphology in random composites and correlating that to local stress field. More specifically, in this paper we address three main issues: correlating microstructure morphology to local stress fields, effect of clustering of inclusions on statistical descriptors identified in the paper, and effect of number of realizations of statistical volume elements (SVEs) on statistical descriptors. |
| doi_str_mv | 10.1007/s10853-006-1117-1 |
| format | Article |
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Thus, there is a need to classify and quantify different micro-structural arrangements. In other words, it is necessary to identify descriptors that characterize the spatial dispersion of inclusions in random composites. On the other hand, Delaunay triangulation associated with an arbitrary set of points in a plane is unique which makes it a good candidate for generating such descriptors. This paper presents a framework for establishing a methodology for characterizing microstructure morphology in random composites and correlating that to local stress field. More specifically, in this paper we address three main issues: correlating microstructure morphology to local stress fields, effect of clustering of inclusions on statistical descriptors identified in the paper, and effect of number of realizations of statistical volume elements (SVEs) on statistical descriptors.</description><identifier>ISSN: 0022-2461</identifier><identifier>EISSN: 1573-4803</identifier><identifier>DOI: 10.1007/s10853-006-1117-1</identifier><identifier>CODEN: JMTSAS</identifier><language>eng</language><publisher>Heidelberg: Springer</publisher><subject>Classification ; Clustering ; Composite materials ; Condensed matter: structure, mechanical and thermal properties ; Correlation ; Defects and impurities in crystals; microstructure ; Delaunay triangulation ; Dispersions ; Exact sciences and technology ; Inclusions ; Materials science ; Mathematical models ; Microstructure ; Morphology ; Physics ; Statistical models ; Stress distribution ; Stresses ; Structure of solids and liquids; crystallography ; Theories and models of crystal defects</subject><ispartof>Journal of materials science, 2007-08, Vol.42 (16), p.7016-7030</ispartof><rights>2007 INIST-CNRS</rights><rights>Journal of Materials Science is a copyright of Springer, (2007). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-fa7b28e5f6d3188657af56517e46705cb88f12691ad7b4ff27551c004b76d9373</citedby><cites>FETCH-LOGICAL-c367t-fa7b28e5f6d3188657af56517e46705cb88f12691ad7b4ff27551c004b76d9373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18922878$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>AL-OSTAZ, Ahmed</creatorcontrib><creatorcontrib>DIWAKAR, Anipindi</creatorcontrib><creatorcontrib>ALZEBDEH, Khalid I</creatorcontrib><title>Statistical model for characterizing random microstructure of inclusion-matrix composites</title><title>Journal of materials science</title><description>The variation of arrangement of micro-structural entities (i.e. inclusions) influences local properties of composites. Thus, there is a need to classify and quantify different micro-structural arrangements. In other words, it is necessary to identify descriptors that characterize the spatial dispersion of inclusions in random composites. On the other hand, Delaunay triangulation associated with an arbitrary set of points in a plane is unique which makes it a good candidate for generating such descriptors. This paper presents a framework for establishing a methodology for characterizing microstructure morphology in random composites and correlating that to local stress field. 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DIWAKAR, Anipindi ; ALZEBDEH, Khalid I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-fa7b28e5f6d3188657af56517e46705cb88f12691ad7b4ff27551c004b76d9373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Classification</topic><topic>Clustering</topic><topic>Composite materials</topic><topic>Condensed matter: structure, mechanical and thermal properties</topic><topic>Correlation</topic><topic>Defects and impurities in crystals; microstructure</topic><topic>Delaunay triangulation</topic><topic>Dispersions</topic><topic>Exact sciences and technology</topic><topic>Inclusions</topic><topic>Materials science</topic><topic>Mathematical models</topic><topic>Microstructure</topic><topic>Morphology</topic><topic>Physics</topic><topic>Statistical models</topic><topic>Stress distribution</topic><topic>Stresses</topic><topic>Structure of solids and liquids; crystallography</topic><topic>Theories and models of crystal defects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>AL-OSTAZ, Ahmed</creatorcontrib><creatorcontrib>DIWAKAR, Anipindi</creatorcontrib><creatorcontrib>ALZEBDEH, Khalid I</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</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><collection>Engineering Collection</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Journal of materials science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>AL-OSTAZ, Ahmed</au><au>DIWAKAR, Anipindi</au><au>ALZEBDEH, Khalid I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistical model for characterizing random microstructure of inclusion-matrix composites</atitle><jtitle>Journal of materials science</jtitle><date>2007-08-01</date><risdate>2007</risdate><volume>42</volume><issue>16</issue><spage>7016</spage><epage>7030</epage><pages>7016-7030</pages><issn>0022-2461</issn><eissn>1573-4803</eissn><coden>JMTSAS</coden><abstract>The variation of arrangement of micro-structural entities (i.e. inclusions) influences local properties of composites. 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| subjects | Classification Clustering Composite materials Condensed matter: structure, mechanical and thermal properties Correlation Defects and impurities in crystals microstructure Delaunay triangulation Dispersions Exact sciences and technology Inclusions Materials science Mathematical models Microstructure Morphology Physics Statistical models Stress distribution Stresses Structure of solids and liquids crystallography Theories and models of crystal defects |
| title | Statistical model for characterizing random microstructure of inclusion-matrix composites |
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