2020
DOI: 10.1016/j.cnsns.2020.105191
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A simple extended compact nonlinear scheme with adaptive dissipation control

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Cited by 19 publications
(7 citation statements)
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“…Numerical simulations of compressible flows are a highly challenging topic because shock waves which cause strong density, velocity and pressure discontinuities, need to be tackled by using robust [1], accurate [2,3] and efficient [4,5] shock-capturing schemes, the development of which is still not trivial. This topic becomes especially challenging while high numerical resolution and computational robustness are expected to be provided by a unified framework of numerical schemes, since achieving high-resolution usually expects high-order polynomials for spatial approximation, and high-order polynomials tend to be oscillatory if they are crossing discontinuities (Gibbs phenomenon).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Numerical simulations of compressible flows are a highly challenging topic because shock waves which cause strong density, velocity and pressure discontinuities, need to be tackled by using robust [1], accurate [2,3] and efficient [4,5] shock-capturing schemes, the development of which is still not trivial. This topic becomes especially challenging while high numerical resolution and computational robustness are expected to be provided by a unified framework of numerical schemes, since achieving high-resolution usually expects high-order polynomials for spatial approximation, and high-order polynomials tend to be oscillatory if they are crossing discontinuities (Gibbs phenomenon).…”
Section: Introductionmentioning
confidence: 99%
“…Numerical simulations of compressible flows are a highly challenging topic since shock waves, which cause strong density, velocity, and pressure discontinuities, need to be tackled by using robust, 1 accurate, 2,3 and efficient 4,5 shock-capturing schemes, the development of which, however, is still not trivial. This topic becomes even more challenging when it comes to high-order shock-capturing schemes, since for which, the satisfaction of high numerical resolution and strong computational robustness are contradictory.…”
Section: Introductionmentioning
confidence: 99%
“…22 In general, no doubt, further improving the efficiency of these nonlinear shock-capturing schemes is a crucial issue. [23][24][25] Therefore, an idea first sketched in Reference 26 and extended by Zhang et al 27 is further developed and analyzed in this work, in order to reduce the overall computational effort of high-resolution solutions.…”
Section: Introductionmentioning
confidence: 99%
“…In Computational Fluid Dynamics(CFD), numerical dissipation is considered to derive from the truncation error introduced by the discrete convection term of the spatial discrete schemes, which is closely related to the computational accuracy and stability of the scheme. CFD researchers often use the method of reducing numerical dissipation to construct higher precision computational schemes [1][2][3]. The spatial discrete scheme consists of two parts, the difference scheme and the flux splitting scheme, and this paper mainly discusses the numerical dissipation characteristics of the flux splitting scheme, while the upwind scheme, as the mainstream scheme for solving convective fluxes in CFD at present [4], becomes the object of study in this paper.…”
Section: Introductionmentioning
confidence: 99%