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Eulerian time-stepping schemes for the non-stationary Stokes equations on time-dependent domains

Erik Burman, Stefan Frei, André Massing

2022Numerische Mathematik27 citationsDOIOpen Access PDF

Abstract

Abstract This article is concerned with the discretisation of the Stokes equations on time-dependent domains in an Eulerian coordinate framework. Our work can be seen as an extension of a recent paper by Lehrenfeld and Olshanskii (ESAIM: M2AN 53(2):585–614, 2019), where BDF-type time-stepping schemes are studied for a parabolic equation on moving domains. For space discretisation, a geometrically unfitted finite element discretisation is applied in combination with Nitsche’s method to impose boundary conditions. Physically undefined values of the solution at previous time-steps are extended implicitly by means of so-called ghost penalty stabilisations. We derive a complete a priori error analysis of the discretisation error in space and time, including optimal $$L^2(L^2)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mrow> <mml:mo>(</mml:mo> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> -norm error bounds for the velocities. Finally, the theoretical results are substantiated with numerical examples.

Topics & Concepts

DiscretizationAlgorithmFinite element methodNumerical analysisMathematicsEulerian pathComputer scienceA priori and a posterioriMathematical analysisApplied mathematicsPhysicsThermodynamicsEpistemologyLagrangianPhilosophyAdvanced Numerical Methods in Computational MathematicsAdvanced Mathematical Modeling in EngineeringDifferential Equations and Numerical Methods
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