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dc.contributor.authorDouglas, Craig C.
dc.contributor.authorEfendiev, Yalchin R.
dc.contributor.authorPopov, Peter
dc.contributor.authorCalo, Victor M.
dc.date.accessioned2015-05-07T13:35:19Z
dc.date.available2015-05-07T13:35:19Z
dc.date.issued2012-06-02
dc.identifier.citationAn Introduction to a Porous Shape Memory Alloy Dynamic Data Driven Application System 2012, 9:1081 Procedia Computer Science
dc.identifier.issn18770509
dc.identifier.doi10.1016/j.procs.2012.04.117
dc.identifier.urihttp://hdl.handle.net/10754/552424
dc.description.abstractShape Memory Alloys are capable of changing their crystallographic structure due to changes of temperature and/or stress. Our research focuses on three points: (1) Iterative Homogenization of Porous SMAs: Development of a Multiscale Model of porous SMAs utilizing iterative homogenization and based on existing knowledge of constitutive modeling of polycrystalline SMAs. (2) DDDAS: Develop tools to turn on and off the sensors and heating unit(s), to monitor on-line data streams, to change scales based on incoming data, and to control what type of data is generated. The application must have the capability to be run and steered remotely. (3) Modeling and applications of porous SMA: Vibration isolation devices with SMA and porous SMA components for aerospace applications will be analyzed and tested. Numerical tools for modeling porous SMAs with a second viscous phase will be developed.The outcome will be a robust, three-dimensional, multiscale model of porous SMA that can be used in complicated, real-life structural analysis of SMA components using a DDDAS framework.
dc.publisherElsevier BV
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877050912002384
dc.rightsArchived with thanks to Procedia Computer Science. http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectDynamic Data Driven Application Systems
dc.subjectDDDAS
dc.subjectSMAs
dc.subjecthomogenization
dc.subjectmodeling
dc.subjectdata assimilation
dc.titleAn Introduction to a Porous Shape Memory Alloy Dynamic Data Driven Application System
dc.typeConference Paper
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.identifier.journalProcedia Computer Science
dc.conference.date2012-06-04 to 2012-06-06
dc.conference.name12th Annual International Conference on Computational Science, ICCS 2012
dc.conference.locationOmaha, NB, USA
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionUniverity of Wyoming School of Energy Resources and Mathematics Department, Laramie, WY 82072-3036, USA
dc.contributor.institutionTexas A&M University Mathematics Department, College Station, TX 77843-3368, USA
kaust.personCalo, Victor M.
refterms.dateFOA2018-06-13T11:09:37Z


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