Isogeometric analysis using T-splines

Yuri Bazilevs, Victor M. Calo, J. Austin Cottrell, John A. Evans, Thomas Jr R Hughes, S. Lipton, Michael A. Scott, Thomas W. Sederberg

Research output: Contribution to journalArticlepeer-review

929 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)229-263
Number of pages35
JournalComputer Methods in Applied Mechanics and Engineering
Volume199
Issue number5-8
DOIs
StatePublished - Jan 2010

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.

ASJC Scopus subject areas

  • General Physics and Astronomy
  • Mechanics of Materials
  • Mechanical Engineering
  • Computational Mechanics
  • Computer Science Applications

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