Title
Dispersion-optimized quadrature rules for isogeometric analysis: modified inner products, their dispersion properties, and optimally blended schemes.
Abstract
This paper introduces optimally-blended quadrature rules for isogeometric analysis and analyzes the numerical dispersion of the resulting discretizations. To quantify the approximation errors when we modify the inner products, we generalize the Pythagorean eigenvalue theorem of Strang and Fix. The proposed blended quadrature rules have advantages over alternative integration rules for isogeometric analysis on uniform and non-uniform meshes as well as for different polynomial orders and continuity of the basis. The optimally-blended schemes improve the convergence rate of the method by two orders with respect to the fully-integrated Galerkin method. The proposed technique increases the accuracy and robustness of isogeometric analysis for wave propagation problems.
Year
DOI
Venue
2016
10.1016/j.cma.2017.03.029
Computer Methods in Applied Mechanics and Engineering
Keywords
Field
DocType
Isogeometric analysis,Finite elements,Eigenvalue problem,Wave propagation,Numerical dispersion,Quadrature
Gauss–Kronrod quadrature formula,Mathematical optimization,Polynomial,Mathematical analysis,Isogeometric analysis,Galerkin method,Finite element method,Rate of convergence,Quadrature (mathematics),Eigenvalues and eigenvectors,Mathematics
Journal
Volume
ISSN
Citations 
320
0045-7825
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Vladimir Puzyrev142.91
Quanling Deng222.11
Victor M. Calo319138.14