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Interpolatory Conservative-Characteristic Scheme with Improved Dispersion Properties for Computational Fluid Dynamics

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Abstract

Conservative-characteristic schemes for the numerical solution of systems of hyperbolic equations combine the advantages of shock-capturing conservative methods and the method of characteristics. They operate with two types of variables: conservative and flux. Conservative variables have the meaning of mean values, refer to the middle of the cells, and are calculated using the finite volume method. The flux variables determine the fluxes on the faces of computational cells and are calculated using the characteristic form of equations and local Riemann invariants. This part of the algorithm allows various implementations, on which the dissipative and dispersion properties of the algorithms depend. For example, in the CABARET scheme, the flux variables are calculated by linear extrapolation of local invariants, but there are also schemes with interpolation of invariants and their subsequent transfer along the characteristics (active flux schemes). In the latter case, various options are also possible. This article is devoted to the results of the study of a possible variant of interpolatory conservative-characteristic schemes for systems of hyperbolic equations.

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REFERENCES

  1. A. G. Kulikovskii, N. V. Pogorelov, and A. Yu. Semenov, Mathematical Aspects of Numerical Solution of Hyperbolic Systems (Fizmatlit, Moscow, 2001; Chapman and Hall/CRC, London, 2001).

  2. V. M. Goloviznin and B. N. Chetverushkin, “New generation algorithms for computational fluid dynamics,” Comput. Math. Math. Phys. 58 (8), 1217–1225 (2018).

    Article  MathSciNet  MATH  Google Scholar 

  3. E. Guerrero Fernandez, M. J. Castro-Diaz, and T. Morales de Luna, “A second-order well-balanced finite volume scheme for the multilayer shallow water model with variable density,” Mathematics 8 (5), 848 (2020).

    Article  Google Scholar 

  4. V. M. Goloviznin, M. A. Zaitsev, S. A. Karabasov, and I. A. Korotkin, New CFD Algorithms for Multiprocessor Computer Systems (Mosk. Gos. Univ., Moscow, 2013) [in Russian].

    Google Scholar 

  5. S. A. Karabasov and V. M. Goloviznin, “Compact accurately boundary-adjusting high-resolution technique for fluid dynamics,” J. Comput. Phys. 228 (19), 7426–7451 (2009).

    Article  MathSciNet  MATH  Google Scholar 

  6. V. M. Goloviznin and A. A. Samarskii, “Difference approximation of convective transport with spatial splitting of the time derivative,” Mat. Model. 10 (1), 86–100 (1998).

    MathSciNet  MATH  Google Scholar 

  7. V. M. Goloviznin, P. A. Mayorov, and P. A. Mayorov, “Hyperbolic decomposition for hydrostatic approximation of free surface flow problems,” J. Phys.: Conf. Ser. 1392, 012035 (2019).

  8. V. M. Goloviznin, Pavel A. Maiorov, Petr A. Maiorov, and A. V. Solovjev, “New numerical algorithm for the multi-layer shallow water equations based on the hyperbolic decomposition and the CABARET scheme,” Phys. Oceanogr. 26 (6), 528–546 (2019).

    Article  Google Scholar 

  9. P. G. Yakovlev, S. A. Karabasov, and V. M. Goloviznin, “Direct modeling of the interaction between vortex pairs,” Math. Models Comput. Simul. 4 (3), 288–296 (2012).

    Article  MathSciNet  MATH  Google Scholar 

  10. D. Y. Gorbachev and V. M. Goloviznin, “The balance-characteristic numerical method on triangle grids,” J. Phys.: Conf. Ser. 1392, 012036 (2019).

  11. V. M. Goloviznin and S. A. Karabasov, “Nonlinear correction of the CABARET scheme,” Mat. Model. 10 (12), 107–123 (1998).

    MathSciNet  Google Scholar 

  12. B. Van Leer, “Towards the ultimate conservative difference scheme: IV. A new approach to numerical convection,” J. Comput. Phys. 23 (3), 276–299 (1977).

    Article  MATH  Google Scholar 

  13. T. A. Eymann and P. L. Roe, “Active flux schemes,” 49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition (2011). https://doi.org/10.2514/6.2011-382

  14. V. M. Goloviznin and V. A. Isakov, “Balance-characteristic scheme as applied to the shallow water equations over a rough bottom,” Comput. Math. Math. Phys. 57 (7), 1140–1157 (2017).

    Article  MathSciNet  MATH  Google Scholar 

  15. N. A. Afanasiev and V. M. Goloviznin, “A locally implicit time-reversible sonic point processing algorithm for one-dimensional shallow-water equations,” J. Comput. Phys. 434, 110220 (2021).

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Funding

This work was supported by the Russian Science Foundation, project no. 18-11-00163.

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Correspondence to N. A. Afanasiev, N. E. Shagirov or V. M. Goloviznin.

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Afanasiev, N.A., Shagirov, N.E. & Goloviznin, V.M. Interpolatory Conservative-Characteristic Scheme with Improved Dispersion Properties for Computational Fluid Dynamics. Comput. Math. and Math. Phys. 62, 1885–1899 (2022). https://doi.org/10.1134/S0965542522110021

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  • DOI: https://doi.org/10.1134/S0965542522110021

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