An Efficient Algorithm with Stabilized Finite Element Method for the Stokes Eigenvalue Problem

Joint Authors

Weng, Zhifeng
Cai, Yaoxiong

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-12-31

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

This paper provides a two-space stabilized mixed finite element scheme for the Stokes eigenvalue problem based on local Gauss integration.

The two-space strategy contains solving one Stokes eigenvalue problem using the P1-P1 finite element pair and then solving an additional Stokes problem using the P2-P2 finite element pair.

The postprocessing technique which increases the order of mixed finite element space by using the same mesh can accelerate the convergence rate of the eigenpair approximations.

Moreover, our method can save a large amount of computational time and the corresponding convergence analysis is given.

Finally, numerical results are presented to confirm the theoretical analysis.

American Psychological Association (APA)

Weng, Zhifeng& Cai, Yaoxiong. 2017. An Efficient Algorithm with Stabilized Finite Element Method for the Stokes Eigenvalue Problem. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1191356

Modern Language Association (MLA)

Weng, Zhifeng& Cai, Yaoxiong. An Efficient Algorithm with Stabilized Finite Element Method for the Stokes Eigenvalue Problem. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1191356

American Medical Association (AMA)

Weng, Zhifeng& Cai, Yaoxiong. An Efficient Algorithm with Stabilized Finite Element Method for the Stokes Eigenvalue Problem. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1191356

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1191356