Samenvatting
A Skeleton-stabilized IsoGeometric Analysis (SIGA) technique is proposed for incompressible viscous flow problems with moderate Reynolds number. The proposed method allows utilizing identical finite dimensional spaces (with arbitrary B-splines/NURBS order and regularity) for the approximation of the pressure and velocity components. The key idea is to stabilize the jumps of high-order derivatives of variables over the skeleton of the mesh. For B-splines/NURBS basis functions of degree k with Cα-regularity (0≤α<k), only the derivative of order α+1 has to be controlled. This stabilization technique thus can be viewed as a high-regularity generalization of the (Continuous) Interior-Penalty Finite Element Method. Numerical experiments are performed for the Stokes and Navier–Stokes equations in two and three dimensions. Oscillation-free solutions and optimal convergence rates are obtained. In terms of the sparsity pattern of the algebraic system, we demonstrate that the block matrix associated with the stabilization term has a considerably smaller bandwidth when using B-splines than when using Lagrange basis functions, even in the case of C0-continuity. This important property makes the proposed isogeometric framework practical from a computational effort point of view.
| Originele taal-2 | Engels |
|---|---|
| Pagina's (van-tot) | 324-351 |
| Aantal pagina's | 28 |
| Tijdschrift | Computer Methods in Applied Mechanics and Engineering |
| Volume | 337 |
| DOI's | |
| Status | Gepubliceerd - 1 aug. 2018 |
Financiering
We acknowledge the support from the European Commission EACEA Agency , Framework Partnership Agreement Ref. 2013-0043 Erasmus Mundus Action 1b, as a part of the EM Joint Doctorate Simulation in Engineering and Entrepreneurship Development (SEED). A.R. also acknowledges the support of Fondazione Cariplo - Regione Lombardia through the project “Verso nuovi strumenti di simulazione super veloci ed accurati basati sull’analisi isogeometrica”, within the program RST - rafforzamento. The simulations in this work were performed using the open source software Nutils ( www.nutils.org ). We would like to thank the Nutils developers for the developments specifically related to this work.
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