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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2022 Volume 62, Number 8, Pages 1386–1401 (Mi zvmmf11442)

This article is cited in 1 paper

10th International Conference "Numerical Geometry, Meshing and High Performance Computing (NUMGRID 2020/Delaunay 130)"
Mathematical physics

An analysis of grid-clustering rules in a boundary layer using the numerical solution of the problem of viscous flow over a plate

A. N. Kudryavtsevab, V. D. Liseikinbc, A. V. Mukhortovb

a Khristianovich Institute of Theoretical and Applied Mechanics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
b Novosibirsk State University
c Federal Research Center for Information and Computational Technologies

Abstract: The problem of the supersonic flow of a viscous compressible gas over a flat plate at a zero angle of attack was numerically studied. The two-dimensional Navier–Stokes equations were solved at various Reynolds numbers on adaptive grids with boundary-layer mesh refinement. Well-known grids constructed with the help of coordinate transformations eliminating boundary layers of various types were considered. The characteristics of numerical solutions (the value and order of the error, the value and order of the solution jump, and computation time) were analyzed in a series of numerical experiments. The advantages, shortcomings, and the applicability of each boundary layer mesh refinement rule for finding the numerical solution of this problem were discussed. The novelty of this work lies in the analysis of special adaptive grids and their use for solving problems applied in various fields of supersonic aero- and gas dynamics.

Key words: adaptive grid, boundary layer, flow over a plate, Navier–Stokes equations, viscous gas, supersonic flow.

UDC: 519.63

Received: 10.10.2021
Revised: 21.01.2022
Accepted: 11.03.2022

DOI: 10.31857/S0044466922080075


 English version:
Computational Mathematics and Mathematical Physics, 2022, 62:8, 1356–1371

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© Steklov Math. Inst. of RAS, 2024