Isogeometric analysis using T-splines

Handle URI:
http://hdl.handle.net/10754/561437
Title:
Isogeometric analysis using T-splines
Authors:
Bazilevs, Yuri; Calo, Victor M. ( 0000-0002-1805-4045 ) ; Cottrell, J. Austin; Evans, John A.; Hughes, Thomas Jr R; Lipton, S.; Scott, Michael A.; Sederberg, Thomas W.
Abstract:
We explore T-splines, a generalization of NURBS enabling local refinement, as a basis for isogeometric analysis. We review T-splines as a surface design methodology and then develop it for engineering analysis applications. We test T-splines on some elementary two-dimensional and three-dimensional fluid and structural analysis problems and attain good results in all cases. We summarize the current status of T-splines, their limitations, and future possibilities. © 2009 Elsevier B.V.
KAUST Department:
Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Numerical Porous Media SRI Center (NumPor)
Publisher:
Elsevier BV
Journal:
Computer Methods in Applied Mechanics and Engineering
Issue Date:
Jan-2010
DOI:
10.1016/j.cma.2009.02.036
Type:
Article
ISSN:
00457825
Sponsors:
We wish to thank Omar Ghattas for helpful insights into the relationship between isogeometric analysis and high-performance computing. J.A. Evans was partially supported by the Department of Energy Computational Science Graduate Fellowship, provided under Grant Number DE-FG02-97ER25308. S. Lipton was partially supported by the Department of Defense National Defense Science and Engineering Fellowship. Support of the Office of Naval Research Contract N00014-03-0263, Dr. Luise Couchman, contract monitor, is gratefully acknowledged.
Appears in Collections:
Articles; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorBazilevs, Yurien
dc.contributor.authorCalo, Victor M.en
dc.contributor.authorCottrell, J. Austinen
dc.contributor.authorEvans, John A.en
dc.contributor.authorHughes, Thomas Jr Ren
dc.contributor.authorLipton, S.en
dc.contributor.authorScott, Michael A.en
dc.contributor.authorSederberg, Thomas W.en
dc.date.accessioned2015-08-02T09:11:17Zen
dc.date.available2015-08-02T09:11:17Zen
dc.date.issued2010-01en
dc.identifier.issn00457825en
dc.identifier.doi10.1016/j.cma.2009.02.036en
dc.identifier.urihttp://hdl.handle.net/10754/561437en
dc.description.abstractWe explore T-splines, a generalization of NURBS enabling local refinement, as a basis for isogeometric analysis. We review T-splines as a surface design methodology and then develop it for engineering analysis applications. We test T-splines on some elementary two-dimensional and three-dimensional fluid and structural analysis problems and attain good results in all cases. We summarize the current status of T-splines, their limitations, and future possibilities. © 2009 Elsevier B.V.en
dc.description.sponsorshipWe wish to thank Omar Ghattas for helpful insights into the relationship between isogeometric analysis and high-performance computing. J.A. Evans was partially supported by the Department of Energy Computational Science Graduate Fellowship, provided under Grant Number DE-FG02-97ER25308. S. Lipton was partially supported by the Department of Defense National Defense Science and Engineering Fellowship. Support of the Office of Naval Research Contract N00014-03-0263, Dr. Luise Couchman, contract monitor, is gratefully acknowledged.en
dc.publisherElsevier BVen
dc.subjectCADen
dc.subjectFEAen
dc.subjectFluid dynamicsen
dc.subjectIsogeometric analysisen
dc.subjectNURBSen
dc.subjectPB-splinesen
dc.subjectStructural analysisen
dc.subjectT-splinesen
dc.titleIsogeometric analysis using T-splinesen
dc.typeArticleen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentNumerical Porous Media SRI Center (NumPor)en
dc.identifier.journalComputer Methods in Applied Mechanics and Engineeringen
dc.contributor.institutionInstitute for Computational Engineering and Sciences, The University of Texas at Austin, 201 East 24th Street, 1 University Stn. C0200, Austin, TX 78712, United Statesen
dc.contributor.institutionDepartment of Structural Engineering, University of California, San Diego, 9500 Gilman Drive, Mail Code 0085, La Jolla, CA 92093, United Statesen
dc.contributor.institutionDepartment of Computer Science, Brigham Young University, 3361 TMCB P.O. Box 26576, Provo, UT 84602, United Statesen
kaust.authorCalo, Victor M.en
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