caa a22 4500 463221532 CHVBK 20180405153213.0 cr unu---uuuuu 170326e20070801xx s 000 0 eng 10.1007/s10853-006-1117-1 doi (NATIONALLICENCE)springer-10.1007/s10853-006-1117-1 Statistical model for characterizing random microstructure of inclusion-matrix composites [Elektronische Daten] [Ahmed Al-Ostaz, Anipindi Diwakar, Khalid Alzebdeh] 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. Springer Science+Business Media, LLC, 2007 Al-Ostaz Ahmed Department of Civil Engineering, University of Mississippi, 38677, University, MS, USA aut Diwakar Anipindi SC Solutions, Inc., 1261 Oakmead Pkwy., 94085, Sunnyvale, CA, USA aut Alzebdeh Khalid Department of Mechanical & Industrial Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman aut Journal of Materials Science Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 42/16(2007-08-01), 7016-7030 0022-2461 42:16<7016 2007 42 10853 https://doi.org/10.1007/s10853-006-1117-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10853-006-1117-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Al-Ostaz Ahmed Department of Civil Engineering, University of Mississippi, 38677, University, MS, USA aut NATIONALLICENCE 700 1- Diwakar Anipindi SC Solutions, Inc., 1261 Oakmead Pkwy., 94085, Sunnyvale, CA, USA aut NATIONALLICENCE 700 1- Alzebdeh Khalid Department of Mechanical & Industrial Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman aut NATIONALLICENCE 773 0- Journal of Materials Science Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 42/16(2007-08-01), 7016-7030 0022-2461 42:16<7016 2007 42 10853 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer