CLC number: O354.4; O354.5
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2020-07-15
Cited: 0
Clicked: 3579
Citations: Bibtex RefMan EndNote GB/T7714
https://orcid.org/0000-0002-8116-0668
Liang Li, Hong-bo Wang, Guo-yan Zhao, Ming-bo Sun, Da-peng Xiong, Tao Tang. Efficient WENOCU4 scheme with three different adaptive switches[J]. Journal of Zhejiang University Science A, 2020, 21(9): 695-720.
@article{title="Efficient WENOCU4 scheme with three different adaptive switches",
author="Liang Li, Hong-bo Wang, Guo-yan Zhao, Ming-bo Sun, Da-peng Xiong, Tao Tang",
journal="Journal of Zhejiang University Science A",
volume="21",
number="9",
pages="695-720",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2000006"
}
%0 Journal Article
%T Efficient WENOCU4 scheme with three different adaptive switches
%A Liang Li
%A Hong-bo Wang
%A Guo-yan Zhao
%A Ming-bo Sun
%A Da-peng Xiong
%A Tao Tang
%J Journal of Zhejiang University SCIENCE A
%V 21
%N 9
%P 695-720
%@ 1673-565X
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2000006
TY - JOUR
T1 - Efficient WENOCU4 scheme with three different adaptive switches
A1 - Liang Li
A1 - Hong-bo Wang
A1 - Guo-yan Zhao
A1 - Ming-bo Sun
A1 - Da-peng Xiong
A1 - Tao Tang
J0 - Journal of Zhejiang University Science A
VL - 21
IS - 9
SP - 695
EP - 720
%@ 1673-565X
Y1 - 2020
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2000006
Abstract: Although classical WENOCU schemes can achieve high-order accuracy by introducing a moderate constant parameter C to increase the contribution of optimal weights, they exhibit distinct numerical dissipation in smooth regions. This study presents an extension of our previous research which confirmed that adaptively adjusting parameter C can indeed overcome the inadequacy of the usage of a constant small value. Cmin is applied near a discontinuity while Cmax is used elsewhere and they are switched according to the variation of the local flow-field property. This study provides the reference values of the adaptive parameter C of WENOCU4 and systematically evaluates the comprehensive performance of three different switches (labeled as the binary, continuous, and hyperbolic tangent switches, respectively) based on an optimized efficient WENOCU4 scheme (labeled as EWENOCU4). Varieties of 1D scalar equations, empirical dispersion relation analysis, and multi-dimensional benchmark cases of Euler equations are analyzed. Generally, the dissipation and dispersion properties of these three switches are similar. Especially, employing the binary switch, EWENOCU4 achieves the best comprehensive properties. Specifically, the binary switch can efficiently filter more misidentifications in smooth regions than others do, particularly for the cases of 1D scalar equations and Euler equations. Also, the computational efficiency of the binary switch is superior to that of the hyperbolic tangent switch. Moreover, the optimized scheme exhibits high-resolution spectral properties in the wavenumber space. Therefore, employing the binary switch is a more cost-effective improvement for schemes and is particularly suitable for the simulation of complex shock/turbulence interaction. This study provides useful guidance for the reference values of parameter C and the evaluation of adaptive switches.
[1]Adams NA, Shariff K, 1996. A high-resolution hybrid compact-ENO scheme for shock-turbulence interaction problems. Journal of Computational Physics, 127(1):27-51.
[2]Borges R, Carmona M, Costa B, et al., 2008. An improved weighted essentially non-oscillatory scheme for hyperbolic conservation laws. Journal of Computational Physics, 227(6):3191-3211.
[3]Casper J, Carpenter MH, 1998. Computational considerations for the simulation of shock-induced sound. SIAM Journal on Scientific Computing, 19(3):813-828.
[4]Fleischmann N, Adami S, Adams NA, 2019. Numerical symmetry-preserving techniques for low-dissipation shock-capturing schemes. Computers & Fluids, 189:94-107.
[5]Henrick AK, Aslam TD, Powers JM, 2005. Mapped weighted essentially non-oscillatory schemes: achieving optimal order near critical points. Journal of Computational Physics, 207(2):542-567.
[6]Honein AE, Moin P, 2004. Higher entropy conservation and numerical stability of compressible turbulence simulations. Journal of Computational Physics, 201(2):531-545.
[7]Hu XY, Wang Q, Adams NA, 2010. An adaptive central-upwind weighted essentially non-oscillatory scheme. Journal of Computational Physics, 229(23):8952-8965.
[8]Hu XY, Wang B, Adams NA, 2015. An efficient low-dissipation hybrid weighted essentially non-oscillatory scheme. Journal of Computational Physics, 301:415-424.
[9]Jeong J, Hussain F, 1995. On the identification of a vortex. Journal of Fluid Mechanics, 285:69-94.
[10]Jiang GS, Shu CW, 1996. Efficient implementation of weighted ENO schemes. Journal of Computational Physics, 126(1):202-228.
[11]Larsson J, Gustafsson B, 2008. Stability criteria for hybrid difference methods. Journal of Computational Physics, 227(5):2886-2898.
[12]Lax PD, 1954. Weak solutions of nonlinear hyperbolic equations and their numerical computation. Communications on Pure and Applied Mathematics, 7(1):159-193.
[13]Lax PD, Liu XD, 1998. Solution of two-dimensional Riemann problems of gas dynamics by positive schemes. SIAM Journal on Scientific Computing, 19(2):319-340.
[14]Lele SK, 1992. Compact finite difference schemes with spectral-like resolution. Journal of Computational Physics, 103(1):16-42.
[15]Li XL, Fu DX, Ma YW, 2002. Direct numerical simulation of compressible isotropic turbulence. Science in China Series A: Mathematics, 45(11):1452-1460.
[16]Liu XD, Osher S, Chan T, 1994. Weighted essentially non-oscillatory schemes. Journal of Computational Physics, 115(1):200-212.
[17]Martín MP, Taylor EM, Wu M, et al., 2006. A bandwidth-optimized WENO scheme for the effective direct numerical simulation of compressible turbulence. Journal of Computational Physics, 220(1):270-289.
[18]Pirozzoli S, 2002. Conservative hybrid compact-WENO schemes for shock-turbulence interaction. Journal of Computational Physics, 178(1):81-117.
[19]Pirozzoli S, 2006. On the spectral properties of shock-capturing schemes. Journal of Computational Physics, 219(2):489-497.
[20]Pirozzoli S, 2011. Numerical methods for high-speed flows. Annual Review of Fluid Mechanics, 43:163-194.
[21]Sod GA, 1978. A survey of several finite difference methods for systems of nonlinear hyperbolic conservation laws. Journal of Computational Physics, 27(1):1-31.
[22]Taylor EM, Wu MW, Martín MP, 2007. Optimization of nonlinear error for weighted essentially non-oscillatory methods in direct numerical simulations of compressible turbulence. Journal of Computational Physics, 223(1):384-397.
[23]Woodward P, Colella P, 1984. The numerical simulation of two-dimensional fluid flow with strong shocks. Journal of Computational Physics, 54(1):115-173.
[24]Wu XS, Zhao YX, 2015. A high-resolution hybrid scheme for hyperbolic conservation laws. International Journal for Numerical Methods in Fluids, 78(3):162-187.
[25]Young YN, Tufo H, Dubey A, et al., 2001. On the miscible Rayleigh-Taylor instability: two and three dimensions. Journal of Fluid Mechanics, 447:377-408.
[26]Zhao GY, Sun MB, Mei Y, et al., 2019a. An efficient adaptive central-upwind WENO-CU6 numerical scheme with a new sensor. Journal of Scientific Computing, 81(2):649-670.
[27]Zhao GY, Sun MB, Memmolo A, et al., 2019b. A general framework for the evaluation of shock-capturing schemes. Journal of Computational Physics, 376:924-936.
[28]Zhao GY, Sun MB, Pirozzoli S, 2020. On shock sensors for hybrid compact/WENO schemes. Computers & Fluids, 199:104439.
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