M
Michael A. Scott
Researcher at Brigham Young University
Publications - 60
Citations - 7061
Michael A. Scott is an academic researcher from Brigham Young University. The author has contributed to research in topics: Isogeometric analysis & Finite element method. The author has an hindex of 27, co-authored 58 publications receiving 5931 citations. Previous affiliations of Michael A. Scott include University of Texas System & University of Texas at Austin.
Papers
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Journal ArticleDOI
A phase-field description of dynamic brittle fracture
TL;DR: It is shown that the combination of the phase-field model and local adaptive refinement provides an effective method for simulating fracture in three dimensions.
Journal ArticleDOI
Isogeometric analysis using T-splines
Yuri Bazilevs,Victor M. Calo,J. A. Cottrell,John A. Evans,Thomas J. R. Hughes,S. Lipton,Michael A. Scott,Thomas W. Sederberg +7 more
TL;DR: T-splines, a generalization of NURBS enabling local refinement, have been explored as a basis for isogeometric analysis in this paper, and they have shown good results on some elementary two-dimensional and three-dimensional fluid and structural analysis problems and attain good results in all cases.
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Isogeometric finite element data structures based on Bézier extraction of T-splines
Michael A. Scott,Michael J. Borden,Michael J. Borden,Clemens V. Verhoosel,Thomas W. Sederberg,Thomas J. R. Hughes +5 more
TL;DR: It is shown that the extraction operator and Bézier elements provide an element structure for isogeometric analysis that can be easily incorporated into existing finite element codes, without any changes to element form and assembly algorithms, and standard data processing arrays.
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An Isogeometric design-through-analysis methodology based on adaptive hierarchical refinement of NURBS, immersed boundary methods, and T-spline CAD surfaces
Dominik Schillinger,Dominik Schillinger,Luca Dedè,Michael A. Scott,John A. Evans,Michael J. Borden,Ernst Rank,Thomas J. R. Hughes +7 more
TL;DR: It is shown that hierarchical refinement considerably increases the flexibility of this approach by adaptively resolving local features of NURBS, which combines full analysis suitability of the basis with straightforward implementation in tree data structures and simple generalization to higher dimensions.
Journal ArticleDOI
Local refinement of analysis-suitable T-splines
TL;DR: A local refinement algorithm for analysis-suitable T-splines which does not produce excessive propagation of control points is developed and its use as an adaptive framework for isogeometric analysis is demonstrated.