Two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (CFD)

Abstract With increasing engineering demands, there need high order accurate schemes embedded with precise physical information in order to capture delicate small scale structures and strong waves with correct “physics”. There are two families of high order methods: One is the method of line, relyin...

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Main Author: Jiequan Li
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:Advances in Aerodynamics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s42774-019-0004-9
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spelling doaj-e3d0cff2c65d4e8e9da6a8e35f2e50212020-11-25T03:23:02ZengSpringerOpenAdvances in Aerodynamics2524-69922019-02-011113610.1186/s42774-019-0004-9Two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (CFD)Jiequan Li0Laboratory of Computational Physics, Institute of Applied Physics and Computational MathematicsAbstract With increasing engineering demands, there need high order accurate schemes embedded with precise physical information in order to capture delicate small scale structures and strong waves with correct “physics”. There are two families of high order methods: One is the method of line, relying on the Runge-Kutta (R-K) time-stepping. The building block is the Riemann solution labeled as the solution element “1”. Each step in R-K just has first order accuracy. In order to derive a fourth order accuracy scheme in time, one needs four stages labeled as “ 1⊙1⊙1⊙1=4”. The other is the one-stage Lax-Wendroff (LW) type method, which is more compact but is complicated to design numerical fluxes and hard to use when applied to highly nonlinear problems. In recent years, the pair of solution element and dynamics element, labeled as “2”, are taken as the building block. The direct adoption of the dynamics implies the inherent temporal-spatial coupling. With this type of building blocks, a family of two-stage fourth order accurate schemes, labeled as “ 2⊙2=4”, are designed for the computation of compressible fluid flows. The resulting schemes are compact, robust and efficient. This paper contributes to elucidate how and why high order accurate schemes should be so designed. To some extent, the “ 2⊙2=4” algorithm extracts the advantages of the method of line and one-stage LW method. As a core part, the pair “2” is expounded and LW solver is revisited. The generalized Riemann problem (GRP) solver, as the discontinuous and nonlinear version of LW flow solver, and the gas kinetic scheme (GKS) solver, the microscopic LW solver, are all reviewed. The compact Hermite-type data reconstruction and high order approximation of boundary conditions are proposed. Besides, the computational performance and prospective discussions are presented.http://link.springer.com/article/10.1186/s42774-019-0004-9Compressible fluid dynamicsHyperbolic balance lawsHigh order methodsTemporal-spatial couplingMulti-stage two-derivative methodsLax-Wendroff type flow solvers
collection DOAJ
language English
format Article
sources DOAJ
author Jiequan Li
spellingShingle Jiequan Li
Two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (CFD)
Advances in Aerodynamics
Compressible fluid dynamics
Hyperbolic balance laws
High order methods
Temporal-spatial coupling
Multi-stage two-derivative methods
Lax-Wendroff type flow solvers
author_facet Jiequan Li
author_sort Jiequan Li
title Two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (CFD)
title_short Two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (CFD)
title_full Two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (CFD)
title_fullStr Two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (CFD)
title_full_unstemmed Two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (CFD)
title_sort two-stage fourth order: temporal-spatial coupling in computational fluid dynamics (cfd)
publisher SpringerOpen
series Advances in Aerodynamics
issn 2524-6992
publishDate 2019-02-01
description Abstract With increasing engineering demands, there need high order accurate schemes embedded with precise physical information in order to capture delicate small scale structures and strong waves with correct “physics”. There are two families of high order methods: One is the method of line, relying on the Runge-Kutta (R-K) time-stepping. The building block is the Riemann solution labeled as the solution element “1”. Each step in R-K just has first order accuracy. In order to derive a fourth order accuracy scheme in time, one needs four stages labeled as “ 1⊙1⊙1⊙1=4”. The other is the one-stage Lax-Wendroff (LW) type method, which is more compact but is complicated to design numerical fluxes and hard to use when applied to highly nonlinear problems. In recent years, the pair of solution element and dynamics element, labeled as “2”, are taken as the building block. The direct adoption of the dynamics implies the inherent temporal-spatial coupling. With this type of building blocks, a family of two-stage fourth order accurate schemes, labeled as “ 2⊙2=4”, are designed for the computation of compressible fluid flows. The resulting schemes are compact, robust and efficient. This paper contributes to elucidate how and why high order accurate schemes should be so designed. To some extent, the “ 2⊙2=4” algorithm extracts the advantages of the method of line and one-stage LW method. As a core part, the pair “2” is expounded and LW solver is revisited. The generalized Riemann problem (GRP) solver, as the discontinuous and nonlinear version of LW flow solver, and the gas kinetic scheme (GKS) solver, the microscopic LW solver, are all reviewed. The compact Hermite-type data reconstruction and high order approximation of boundary conditions are proposed. Besides, the computational performance and prospective discussions are presented.
topic Compressible fluid dynamics
Hyperbolic balance laws
High order methods
Temporal-spatial coupling
Multi-stage two-derivative methods
Lax-Wendroff type flow solvers
url http://link.springer.com/article/10.1186/s42774-019-0004-9
work_keys_str_mv AT jiequanli twostagefourthordertemporalspatialcouplingincomputationalfluiddynamicscfd
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