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Journal of Scientific Computing
Erschienen in: Journal of Scientific Computing 2/2018

17.01.2018

Multigrid Methods for Hellan–Herrmann–Johnson Mixed Method of Kirchhoff Plate Bending Problems

verfasst von: Long Chen, Jun Hu, Xuehai Huang

Erschienen in: Journal of Scientific Computing | Ausgabe 2/2018

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Abstract

A V-cycle multigrid method for the Hellan–Herrmann–Johnson (HHJ) discretization of the Kirchhoff plate bending problems is developed in this paper. It is shown that the contraction number of the V-cycle multigrid HHJ mixed method is bounded away from one uniformly with respect to the mesh size. The uniform convergence is achieved for the V-cycle multigrid method with only one smoothing step and without full elliptic regularity assumption. The key is a stable decomposition of the kernel space which is derived from an exact sequence of the HHJ mixed method, and the strengthened Cauchy Schwarz inequality. Some numerical experiments are provided to confirm the proposed V-cycle multigrid method. The exact sequences of the HHJ mixed method and the corresponding commutative diagram is of some interest independent of the current context.
Nächster Artikel Telescopic Projective Integration for Linear Kinetic Equations with Multiple Relaxation Times

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Metadaten
Titel
Multigrid Methods for Hellan–Herrmann–Johnson Mixed Method of Kirchhoff Plate Bending Problems
verfasst von
Long Chen
Jun Hu
Xuehai Huang
Publikationsdatum
17.01.2018
Verlag
Springer US
Erschienen in
Journal of Scientific Computing / Ausgabe 2/2018
Print ISSN: 0885-7474
Elektronische ISSN: 1573-7691
DOI
https://doi.org/10.1007/s10915-017-0636-z

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