2019
DOI: 10.1002/fld.4731
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An improved parallel compact scheme for domain‐decoupled simulation of turbulence

Abstract: Summary An improved domain‐decoupled compact scheme for first and second spatial derivatives is proposed for domain‐decomposition‐based parallel computational fluid dynamics. The method improves the accuracy of previously developed decoupled schemes and preserves the accuracy and bandwidth properties of fully coupled compact schemes, even for a very large degree of parallelism, and enables the Navier‐Stokes equations to be solved independently on each processor. The scheme is analysed using Fourier analysis an… Show more

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Cited by 24 publications
(16 citation statements)
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References 74 publications
(146 reference statements)
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“…This approach has been recently applied to studies of various SWTBLI problems (see Fang et al 2014Fang et al , 2015Fang et al , 2017. The diffusion terms are solved using a sixth-order compact central scheme (Hirsh 1975;Lele 1992) with a domain decoupling scheme for parallel computation (Fang et al 2019). After all the spatial terms are solved, a three-step third-order total variation diminishing Runge-Kutta method, proposed by Gottlieb & Shu (1998), is used for the temporal integration.…”
Section: Computational Set-upmentioning
confidence: 99%
“…This approach has been recently applied to studies of various SWTBLI problems (see Fang et al 2014Fang et al , 2015Fang et al , 2017. The diffusion terms are solved using a sixth-order compact central scheme (Hirsh 1975;Lele 1992) with a domain decoupling scheme for parallel computation (Fang et al 2019). After all the spatial terms are solved, a three-step third-order total variation diminishing Runge-Kutta method, proposed by Gottlieb & Shu (1998), is used for the temporal integration.…”
Section: Computational Set-upmentioning
confidence: 99%
“…All the spatial derivatives are approximated with a sixth-order pade-type compact central scheme [23] . The compact scheme is decoupled at the subdomain interface by using a recently proposed method [24] to handle the domain-decomposition based parallel computation. To remove the small-scale wiggles due to aliasing errors resulting from discrete evaluation of the non-linear convective terms, a tenth-order compact filter is adopted, which limits the filter only at high wavenumbers [25] .…”
Section: Methodsmentioning
confidence: 99%
“…Finite difference compact schemes exhibit superior spectral resolution [40,42] than the explicit schemes of same order, which motivated researchers to use them in many DNS and large eddy simulations [12,20,35,[43][44][45][46][47][48]. The approximation of m th derivative of a function f at i th point using a compact scheme is represented as,…”
Section: Formulation Of Compressible Navier-stokes Equation For Rtimentioning
confidence: 99%