Penalty Method for the Stationary Navier–Stokes Problems Under the Slip Boundary Condition

Guanyu Zhou, Takahito Kashiwabara, Issei Oikawa

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

We consider the penalty method for the stationary Navier–Stokes equations with the slip boundary condition. The well-posedness and the regularity theorem of the penalty problem are investigated, and we obtain the optimal error estimate (Formula presented.) in (Formula presented.)-norm, where (Formula presented.) is the penalty parameter. We are concerned with the finite element approximation with the P1b / P1 element to the penalty problem. The well-posedness of discrete problem is proved. We obtain the error estimate (Formula presented.) for the non-reduced-integration scheme with (Formula presented.), and the reduced-integration scheme with (Formula presented.), where h is the discretization parameter and d is the spatial dimension. For the reduced-integration scheme with (Formula presented.), we prove the convergence order (Formula presented.). The theoretical results are verified by numerical experiments.

Original languageEnglish
Pages (from-to)1-36
Number of pages36
JournalJournal of Scientific Computing
DOIs
Publication statusAccepted/In press - 2015 Nov 27

Fingerprint

Slip Boundary Condition
Penalty Method
Navier-Stokes
Boundary conditions
Reduced Integration
Penalty
Well-posedness
Convergence Order
Optimal Error Estimates
Finite Element Approximation
Experiments
Error Estimates
Navier-Stokes Equations
Discretization
Regularity
Numerical Experiment
Norm
Theorem

Keywords

  • Finite element method
  • Penalty method
  • Slip boundary condition
  • The Navier–Stokes equations

ASJC Scopus subject areas

  • Software
  • Computational Theory and Mathematics
  • Theoretical Computer Science
  • Engineering(all)

Cite this

Penalty Method for the Stationary Navier–Stokes Problems Under the Slip Boundary Condition. / Zhou, Guanyu; Kashiwabara, Takahito; Oikawa, Issei.

In: Journal of Scientific Computing, 27.11.2015, p. 1-36.

Research output: Contribution to journalArticle

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