A Scale-Adaptive TENO Scheme based on a New Smoothness Indicator

Document Type : Research Paper

Authors
Department of Aerospace Engineering, Indian Institute of Space Science and Technology, Thiruvananthapuram, 695547, India
Abstract
This work presents a new smoothness indicator for the Targeted Essentially Non-Oscillatory (TENO) scheme based on the generalized undivided difference method. Furthermore, to prevent excessive numerical dissipation in the low and intermediate wavenumbers, the threshold regulating parameter in the standard TENO scheme is changed to correspond to the local effective scaled wavenumber. A considerable improvement in spectral property is observed using approximate dispersion relation (ADR) techniques. A set of numerical test cases involving both discontinuities and small-scale structures demonstrate that the current systems can capture more scales with less dissipation than the original TENO scheme. These approaches also promise additional higher-order advances in the future.
Keywords
Subjects

Publisher’s Note Shahid Chamran University of Ahvaz remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

[1] Godunov, S.K., Bohachevsky, I., Finite difference method for numerical computation of discontinuous solutions of the equations of fluid dynamics, Matematičeskij Sbornik, 47(89), 1959, 271–306.
[2] Harten, A., High resolution schemes for hyperbolic conservation laws, Journal of Computational Physics, 49, 1983, 357–393.
[3]  Dubey, R.K., Flux limited schemes, Their classification and accuracy based on total variation stability regions, Applied Mathematics and Computation, 224, 2013, 325–336.
[4] Harten, A., ENO schemes with subcell resolution, The Journal of Computational Physics, 83(1), 1989, 148–184.
[5]  Harten, A., Engquist, B., Osher, S., Chakravarthy, S.R., Uniformly high order accurate essentially non-oscillatory schemes, III, Journal of Computational Physics, 131, 1997, 3–47.
[6]  Shu, C.W., Osher, S., Efficient implementation of essentially non-oscillatory shock- capturing schemes, Journal of Computational Physics, 77, 1988, 439471.
[7]  Shu, C.W., Oshers, S., Efficient implementation of essentially non-oscillatory shock- capturing schemes, II, Journal of Computational Physics, 83, 1989, 32–78.
[8] Liu, X.D., Osher, S., Chan, T., Weighted essentially non-oscillatory schemes, Journal of Computational Physics, 115, 1994, 200–212.
[9]   Fu, L., Hu, X.Y., Adams, N.A., A family of high-order targeted ENO schemes for compressible-fluid simulations, Journal of Computational Physics, 305, 2016, 333–359.
[10] Fu, L., Hu, X.Y., Adams, N.A., Targeted ENO schemes with tailored resolution property for hyperbolic conservation laws, Journal of Computational Physics, 349, 2017, 97–121.
[11] Fu, L., Hu, X.Y., Adams, N.A., A new class of adaptive high-order targeted ENO schemes for hyperbolic conservation laws, Journal of Computational Physics, 374, 2018, 724–751.
[12] Kemm, F., A comparative study of TVD-limiters-well-known limiters and an introduction of new ones, International Journal for Numerical Methods in Fluids, 67, 2011,404–440.
[13] Shu, C.W., High order weighted essentially nonoscillatory schemes for convection dominated problems, SIAM Review, 51, 2009, 82–126.
[14] Jiang, G.S., Shu, C.W., Efficient implementation of weighted ENO schemes, Journal of Computational Physics, 126, 1996, 202–228.
[15] Jiang, G.S., Wu, C.C., A high-order WENO finite difference scheme for the equations of ideal magnetohydrodynamics, The Journal of Computational Physics, 150, 1999, 561–594.
[16] Balsara, D.S., Shu, C.W., Monotonicity preserving weighted essentially non-oscillatory schemes with increasingly high order of accuracy, Journal of Computational Physics, 160, 2000, 405–452.
[17] Henrick, A.K., Aslam, T.D., Powers, J.M., Mapped weighted essentially non-oscillatory schemes: Achieving optimal order near critical points, Journal of Computational Physics, 207, 2005, 542–567.
[18] Borges, R., Carmona, M., Costa, B., Don, W.S., An improved weighted essentially non- oscillatory scheme for hyperbolic conservation laws, Journal of Computational Physics, 227, 2008, 3191–3211.
[19] Hill, D., Pullin, D.I., Hybrid tuned center-difference-WENO method for large eddy simulations in the presence of strong shocks, Journal of Computational Physics, 194, 2004, 435–450.
[20] Hu, X.Y., Wang, Q., Adams, N.A., An adaptive central-upwind weighted essentially non-oscillatory scheme, Journal of Computational Physics, 229, 2010, 8952–8965.
[21] Hu, X.Y., Adams, N.A., Scale separation for implicit large eddy simulation, Journal of Computational Physics, 230, 2011, 7240–7249.
[22] Ha, Y., Kim, C.H., Lee, Y.J., Yoon, J., An improved weighted essentially non-oscillatory scheme with a new smoothness indicator, Journal of Computational Physics, 232, 2013, 68–86.
[23] Kim, C.H., Ha, Y., Yoon, J., Modified non-linear weights for fifth-order weighted essentially non-oscillatory schemes, Journal of Scientific Computing, 67, 2016, 299–323.
[24] Wibisono, I., Yanuar, Kosasih, E.A., Fifth-order Hermite targeted essentially non- oscillatory schemes for hyperbolic conservation laws, Journal of Scientific Computing, 87 2021.
[25] Fu, L., Review of the high-order TENO schemes for compressible gas dynamics and turbulence, Archives of Computational Methods in Engineering, 30, 2023, 2493–2526.
[26] Fernandez-Fidalgo, J., Ramırez, L., Tsoutsanis, P., Colominas, I., Nogueira, X.., A reduced-dissipation WENO scheme with automatic dissipation adjustment, Journal of Computational Physics, 425, 2021, 109749.
[27] Xiao, F., Honma, Y., Kono, T., A simple algebraic interface capturing scheme using hyperbolic tangent function, International Journal for Numerical Methods in Fluids, 48, 2005, 1023–1040.
[28] Takagi, S., Fu, L., Wakimura, H., Xiao, F., A novel high-order low-dissipation TENO- THINC scheme for hyperbolic conservation laws, Journal of Computational Physics, 452, 2022, 110899.
[29] Sun, Z., Inaba, S., Xiao, F., Boundary variation diminishing (BVD) reconstruction: A new approach to improve godunov schemes, Journal of Computational Physics, 322, 2016, 309–325.
[30] Deng, X., Jiang, Z.H., Vincent, P., Xiao, F., Yan, C., A new paradigm of dissipation- adjustable, multi-scale resolving schemes for compressible flows, Journal of Computational Physics, 466, 2022, 111287.
[31] Pirozzoli, S., On the spectral properties of shock-capturing schemes, Journal of Computational Physics, 219, 2006, 489–497.
[32] Zhang, X., Jiang, Z., Qin, X., Qu, F., Yan, C., A finite difference scale-adaptive TENO scheme for turbulence simulations, Journal of Computational Physics, 502, 2024, 112793.
[33] Li, Y., Chen, C., Ren, Y.X., A class of high-order finite difference schemes with minimized dispersion and adaptive dissipation for solving compressible flows, Journal of Computational Physics, 448, 2022, 110770.
[34] Roe, P.L., Approximate riemann solvers, parameter vectors, and difference schemes, Journal of Computational Physics, 43, 1981, 357–372.
[35] Toro, E.F., Spruce, M., Speares, W., Restoration of the contact surface in the HLL- Riemann solver, Shock Wave, 4, 1994, 25–34.
[36] Fleischmann, N., Adami, S., Adams, N.A., Numerical symmetry-preserving techniques for low-dissipation shock-capturing schemes, Computers & Fluids, 189, 2019, 94–107.
[37] Gottlieb, S., Shu, C.W., Total variation diminishing Runge-Kutta schemes, Mathematics of Computation, 67, 1998, 913–915.
[38] Sod, G.A., A survey of several finite difference methods for systems of nonlinear hyperbolic conservation laws, Journal of Computational Physics, 27, 1978, 1–31.
[39] Lax, P.D., Weak solutions of nonlinear hyperbolic-equations and their numerical computation, Communications on Pure and Applied Mathematics, VII, 1954, 159–193.
[40] Woodward, P., Colella, P., The numerical simulation of two-dimensional fluid flow with strong shocks, Journal of Computational Physics, 54, 1984, 115–173.
[41] Xu, Z., Shu, C.W., Anti-diffusive flux corrections for high order finite difference WENO schemes, Journal of Computational Physics, 205, 2005, 458–485.
[42] Schulz-Rinne, C.W., Collin, J.P., Glaz, H.M., Numerical solution of the Riemann problem for two-dimensional gas dynamics, SIAM Journal on Scientific Computing, 14, 1993, 1394–1414.
[43] Yang, T., Zhao, G., Zhao, Q., Novel TENO schemes with improved accuracy order based on perturbed polynomial reconstruction, Journal of Computational Physics, 488, 2023, 112219.
[44] Liska, R., Wendroff, B., Comparison of several difference schemes in 1D and 2D test problems for the Euler equations, SIAM Journal on Scientific Computing, 25, 2003, 995-1017.