A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies and eigenmodes. For degree two and higher, however, optical branches of spurious outlier frequencies and modes may appear due to boundaries or reduced continuity at patch interfaces. In this paper, we introduce a variational approach based on perturbed eigenvalue analysis that eliminates outlier frequencies without negatively affecting the accuracy in the remainder of the spectrum and modes. We then propose a pragmatic iterative procedure that estimates the perturbation parameters in such a way that the outlier frequencies are effectively reduced. We demonstrate that our approach allows for a much larger critical time-step size in explicit dy...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...
A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies ...
A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies ...
A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies ...
A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies ...
We use blended quadrature rules to reduce the phase error of isogeometric analysis discretizations. ...
This chapter studies the effect of the quadrature on the isogeometric analysis of the wave propagati...
Generalized eigenvalue problems are standard problems in computational sciences. They may arise in e...
Generalized eigenvalue problems are standard problems in computational sciences. They may arise in e...
Generalized eigenvalue problems are standard problems in computational sciences. They may arise in e...
© 2018 Elsevier B.V. We study the spectral approximation of a second-order elliptic differential eig...
This chapter studies the effect of the quadrature on the isogeometric analysis of the wave propagati...
© 2018, Springer Nature Switzerland AG. This chapter studies the effect of the quadrature on the iso...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...
A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies ...
A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies ...
A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies ...
A key advantage of isogeometric discretizations is their accurate and well-behaved eigenfrequencies ...
We use blended quadrature rules to reduce the phase error of isogeometric analysis discretizations. ...
This chapter studies the effect of the quadrature on the isogeometric analysis of the wave propagati...
Generalized eigenvalue problems are standard problems in computational sciences. They may arise in e...
Generalized eigenvalue problems are standard problems in computational sciences. They may arise in e...
Generalized eigenvalue problems are standard problems in computational sciences. They may arise in e...
© 2018 Elsevier B.V. We study the spectral approximation of a second-order elliptic differential eig...
This chapter studies the effect of the quadrature on the isogeometric analysis of the wave propagati...
© 2018, Springer Nature Switzerland AG. This chapter studies the effect of the quadrature on the iso...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...
Standard perturbation theory of eigenvalue problems consists of obtaining approximations of eigenmod...