{"id":1858,"date":"2018-03-16T07:38:56","date_gmt":"2018-03-16T12:38:56","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/mcml\/?p=1858"},"modified":"2018-03-19T07:39:40","modified_gmt":"2018-03-19T12:39:40","slug":"caglar-oskay-delivered-an-invited-lecture-at-virginia-commonwealth-university","status":"publish","type":"post","link":"https:\/\/my.vanderbilt.edu\/mcml\/2018\/03\/caglar-oskay-delivered-an-invited-lecture-at-virginia-commonwealth-university\/","title":{"rendered":"Caglar Oskay delivered an invited lecture at Virginia Commonwealth University"},"content":{"rendered":"<p><font size=\"3\" face=\"Baskerville, Georgia, Arial, Garamond\"><br \/>\n<strong>Lecture Title:<\/strong> Bridging Computational Materials Science and Structural Mechanics: A New Paradigm for Predictive Simulation<\/p>\n<p><\/font><font size=\"3\" face=\"Baskerville, Georgia, Arial, Garamond\"> <strong>Location:<\/strong> Mechanical and Nuclear Engineering Department, Virginia Commonwealth University, Richmond, VA. <\/font><\/p>\n<p><font size=\"3\" face=\"Baskerville, Georgia, Arial, Garamond\"> <strong>Abstract:<\/strong> <\/font><\/p>\n<p><font size=\"3\" face=\"Baskerville, Georgia, Arial, Garamond\"> Over the past couple of decades, tremendous effort has been devoted to the development of multiscale computational modeling and simulation strategies for physics-based prediction of structural response. Among these strategies, concurrent multiscaling holds great potential in effectively bridging the \u201cmaterial\u201d response to that of the \u201cstructure\u201d. Yet these approaches are so computationally intensive that they remained within the academic realm, and have yet to make impact on realistic engineering problems. <\/font><\/p>\n<p><font size=\"3\" face=\"Baskerville, Georgia, Arial, Garamond\">We propose the Eigendeformation-based Reduced Order Homogenization Method (EHM) for computationally efficient and accurate concurrent multiscale analysis. We build and demonstrate this method to predict the response of structures made of polycrystalline materials, where crystal plasticity finite element (CPFE) simulations are concurrently coupled to a large scale structural analysis. EHM employs the idea of precomputing certain information on the material microstructure such as the influence functions, localization operators and coefficient tensors through RVE scale simulations, prior to the macroscale analysis. The reduced order modeling is achieved by being selective in what \u201cphysics\u201d we choose to embed at the fine scales, as well as by developing sparse and scalable computational algorithms that can very efficiently solve the resulting multiscale systems. <\/font><\/p>\n<p><font size=\"3\" face=\"Baskerville, Georgia, Arial, Garamond\">We demonstrate the efficiency of the proposed approach in simulating the response of large structural problems (resolving each grain throughout the domain of the structure!) with modest computational resources. We also demonstrate the ability of the reduced order model to accurately capture the local, grain-scale features (grain level stress, strain, dislocation density evolution) and failure initiation mechanisms in the context of a high-performance titanium alloy (Ti-6242S). <\/font><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lecture Title: Bridging Computational Materials Science and Structural Mechanics: A New Paradigm for Predictive Simulation Location: Mechanical and Nuclear Engineering Department, Virginia Commonwealth University, Richmond, VA. Abstract: Over the past couple of decades, tremendous effort has been devoted to the development of multiscale computational modeling and simulation strategies for physics-based prediction of structural response. Among&#8230;<\/p>\n","protected":false},"author":340,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1858","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/posts\/1858","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/users\/340"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/comments?post=1858"}],"version-history":[{"count":1,"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/posts\/1858\/revisions"}],"predecessor-version":[{"id":1859,"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/posts\/1858\/revisions\/1859"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/media?parent=1858"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/categories?post=1858"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/mcml\/wp-json\/wp\/v2\/tags?post=1858"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}