2010
DOI: 10.1142/s0218202510004878
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Isogeometric Collocation Methods

Abstract: We initiate the study of collocation methods for NURBS-based isogeometric analysis. The idea is to connect the superior accuracy and smoothness of NURBS basis functions with the low computational cost of collocation. We develop a one-dimensional theoretical analysis, and perform numerical tests in one, two and three dimensions. The numerical results obtained con¯rm theoretical results and illustrate the potential of the methodology.

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Cited by 333 publications
(328 citation statements)
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“…[26,25,32,33]), where integrals in the weak form are eliminated by selecting the test function as the Dirac delta, formally constructed as the limit of a sequence of smooth functions with compact support that converge to a distribution, satisfying the so-called sifting property; or by enforcing directly the strong form of the governing equations to be satisfied in a discrete number of (collocation) points (e.g. [23,27,28,24]). We adopt the latter approach.…”
Section: Collocation and Discretization Of The Governing Equationsmentioning
confidence: 99%
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“…[26,25,32,33]), where integrals in the weak form are eliminated by selecting the test function as the Dirac delta, formally constructed as the limit of a sequence of smooth functions with compact support that converge to a distribution, satisfying the so-called sifting property; or by enforcing directly the strong form of the governing equations to be satisfied in a discrete number of (collocation) points (e.g. [23,27,28,24]). We adopt the latter approach.…”
Section: Collocation and Discretization Of The Governing Equationsmentioning
confidence: 99%
“…The linearized governing equations are collocated at the standard Greville abscissa [23]. The Greville abscissa related to a knot vector U = [u 0 , .…”
Section: Collocation and Discretization Of The Governing Equationsmentioning
confidence: 99%
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“…For instance, spaces of global C k regularity are easily built, thus allowing for fewer degrees of freedom, better performance in case of vibrations, easier approximation of higher order problems, and other advantages. IGA methodologies have been summarized in the recent book [18] and studied in, e.g., [2,4,9,10,19,23,28,29,11,5,8]. IGA methods are having a growing impact on fields as diverse as fluid dynamics [6,7,40,15,26], structural mechanics [3,1,12,20,30,39], and electromagnetics [17,16].…”
mentioning
confidence: 99%
“…Given their higher-order smoothness and their favorable approximation properties, NURBS basis functions constitute an efficient interpolation tool for collocating differential operators, i.e., for the approximation of the strong formulation of PDEs; furthermore they apply even to irregular or complex geometric domains. The newly developed IGA Collocation methods [8,[30][31][32][33], set in the realm of weighted residuals [35], have been applied to a variety of solid, structural mechanics and engineering problems, with excellent performances in terms of efficiency, accuracy and robustness if compared to standard Galerkin methods.…”
Section: Introductionmentioning
confidence: 99%