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Entropy Errors in the Numerical Approximation of the Euler Flow along a Kinked Wall

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Book cover Integration of Theory and Applications in Applied Mechanics

Abstract

Numerical entropy generation is studied in the case of steady, subsonic Euler flow along a kinked wall. For a standard upwind finite volume discretization, the numerical entropy error appears to be zeroth-order in mesh size. Two possible causes of the zeroth-order entropy error are studied. First an investigation is made of the local discretization error on a kinked grid. In the neighbourhood of the kink, this error appears to be zeroth-order as well. For supersonic flow it can be easily removed. However, it seems that the zeroth-order entropy error is yet not caused by the zeroth-order discretization error. Next a study is made of the existence of a singularity in the exact solution. Probably, the Euler flow solution is singular at the kink in the wall. The form of the likely singularity is unknown. Therefore, the construction of a computational method which uses a priori knowledge of the singularity is not possible. Finally it is shown by numerical experiment that the subsonic Euler flow along a kinked wall still can be computed with vanishing entropy errors, by using a continuously curved wall which converges to the kinked wall in the limit of zero mesh width.

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References

  1. A. Dervieux, B. van Leer, J. Périaux and A. Rizzi (eds.), Proc. GAMMWorkshop on the Numerical Simulation of Compressible Euler Flows, Rocquencourt, 1986; Notes on Numerical Fluid Dynamics, Vol. 26, Vieweg, Braunschweig, 1989.

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© 1990 Kluwer Academic Publishers

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van der Maarel, E., Koren, B. (1990). Entropy Errors in the Numerical Approximation of the Euler Flow along a Kinked Wall. In: Dijksman, J.F., Nieuwstadt, F.T.M. (eds) Integration of Theory and Applications in Applied Mechanics. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2125-2_23

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  • DOI: https://doi.org/10.1007/978-94-009-2125-2_23

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7456-8

  • Online ISBN: 978-94-009-2125-2

  • eBook Packages: Springer Book Archive

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