Low-dissipative high order shock-capturing methods using characteristic-based filters
Low-dissipative high order shock-capturing methods using characteristic-based filters
An approach which closely maintains the non-dissipative nature of classical fourth- or higher-order spatial differencing away from shock waves and steep gradient regions while being capable of accurately capturing discontinuities, steep gradient, and fine scale turbulent structures in a stable and efficient manner is described. The approach is a generalization of the method of Gustafsson and Olsson and the artificial compression method (ACM) switch of Harten. Spatially non-dissipative fourth- or higher-order compact and non-compact spatial differencings are used as the base schemes. Instead of applying a scalar filter as in Gustafsson and Olsson, an ACM switch is used to signal the appropriate amount of second- or third-order total variation diminishing (TVD) or essentially non-oscillatory (ENO) types of characteristic based numerical dissipation. This term acts as a characteristic filter to minimize numerical dissipation for the overall scheme. For time-accurate computations, time discretizations with low dissipation are used. Numerical experiments on 2-D vortical flows, vortex–shock interactions, and compressible spatially and temporally evolving mixing layers showed that the proposed schemes have the desired property with only a 10% increase in operations count over standard second-order TVD schemes. Aside from the ability to accurately capture shock–turbulence interaction flows, this approach is also capable of accurately preserving vortex convection. Higher accuracy is achieved with fewer grid points when compared to that of standard second-order TVD, positive, or ENO schemes.
199-238
Yee, H.C.
be62329c-c041-4b20-abe8-637df86fba4b
Sandham, N.D.
0024d8cd-c788-4811-a470-57934fbdcf97
Djomehri, M.J.
46bfb9ea-b4c5-492f-82a5-6b29737813e8
March 1999
Yee, H.C.
be62329c-c041-4b20-abe8-637df86fba4b
Sandham, N.D.
0024d8cd-c788-4811-a470-57934fbdcf97
Djomehri, M.J.
46bfb9ea-b4c5-492f-82a5-6b29737813e8
Yee, H.C., Sandham, N.D. and Djomehri, M.J.
(1999)
Low-dissipative high order shock-capturing methods using characteristic-based filters.
Journal of Computational Physics, 150 (1), .
(doi:10.1006/jcph.1998.6177).
Abstract
An approach which closely maintains the non-dissipative nature of classical fourth- or higher-order spatial differencing away from shock waves and steep gradient regions while being capable of accurately capturing discontinuities, steep gradient, and fine scale turbulent structures in a stable and efficient manner is described. The approach is a generalization of the method of Gustafsson and Olsson and the artificial compression method (ACM) switch of Harten. Spatially non-dissipative fourth- or higher-order compact and non-compact spatial differencings are used as the base schemes. Instead of applying a scalar filter as in Gustafsson and Olsson, an ACM switch is used to signal the appropriate amount of second- or third-order total variation diminishing (TVD) or essentially non-oscillatory (ENO) types of characteristic based numerical dissipation. This term acts as a characteristic filter to minimize numerical dissipation for the overall scheme. For time-accurate computations, time discretizations with low dissipation are used. Numerical experiments on 2-D vortical flows, vortex–shock interactions, and compressible spatially and temporally evolving mixing layers showed that the proposed schemes have the desired property with only a 10% increase in operations count over standard second-order TVD schemes. Aside from the ability to accurately capture shock–turbulence interaction flows, this approach is also capable of accurately preserving vortex convection. Higher accuracy is achieved with fewer grid points when compared to that of standard second-order TVD, positive, or ENO schemes.
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Published date: March 1999
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Local EPrints ID: 71998
URI: http://eprints.soton.ac.uk/id/eprint/71998
ISSN: 0021-9991
PURE UUID: 63d98326-1f56-447e-9c03-2963aefdcc23
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Date deposited: 14 Jan 2010
Last modified: 14 Mar 2024 02:42
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Author:
H.C. Yee
Author:
N.D. Sandham
Author:
M.J. Djomehri
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