Low-storage, explicit Runge–Kutta schemes for the compressible Navier–Stokes equations
The derivation of low-storage, explicit Runge–Kutta (ERK) schemes has been performed in the context of integrating the compressible Navier–Stokes equations via direct numerical simulation. Optimization of ERK methods is done across the broad range of properties, such as stability and accuracy effici...
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Published in | Applied numerical mathematics Vol. 35; no. 3; pp. 177 - 219 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.11.2000
Elsevier |
Subjects | |
Online Access | Get full text |
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Abstract | The derivation of low-storage, explicit Runge–Kutta (ERK) schemes has been performed in the context of integrating the compressible Navier–Stokes equations via direct numerical simulation. Optimization of ERK methods is done across the broad range of properties, such as stability and accuracy efficiency, linear and nonlinear stability, error control reliability, step change stability, and dissipation/dispersion accuracy, subject to varying degrees of memory economization. Following van der Houwen and Wray, sixteen ERK pairs are presented using from two to five registers of memory per equation, per grid point and having accuracies from third- to fifth-order. Methods have been tested with not only DETEST, but also with the 1D wave equation. Two of the methods have been applied to the DNS of a compressible jet as well as methane-air and hydrogen-air flames. Derived 3(2) and 4(3) pairs are competitive with existing full-storage methods. Although a substantial efficiency penalty accompanies use of two- and three-register, fifth-order methods, the best contemporary full-storage methods can be nearly matched while still saving 2–3 registers of memory. |
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AbstractList | The derivation of low-storage, explicit Runge–Kutta (ERK) schemes has been performed in the context of integrating the compressible Navier–Stokes equations via direct numerical simulation. Optimization of ERK methods is done across the broad range of properties, such as stability and accuracy efficiency, linear and nonlinear stability, error control reliability, step change stability, and dissipation/dispersion accuracy, subject to varying degrees of memory economization. Following van der Houwen and Wray, sixteen ERK pairs are presented using from two to five registers of memory per equation, per grid point and having accuracies from third- to fifth-order. Methods have been tested with not only DETEST, but also with the 1D wave equation. Two of the methods have been applied to the DNS of a compressible jet as well as methane-air and hydrogen-air flames. Derived 3(2) and 4(3) pairs are competitive with existing full-storage methods. Although a substantial efficiency penalty accompanies use of two- and three-register, fifth-order methods, the best contemporary full-storage methods can be nearly matched while still saving 2–3 registers of memory. The derivation of low-storage, explicit Runge-Kutta (ERK) schemes has been performed in the context of integrating the compressible Navier-Stokes equations via direct numerical simulation. Optimization of ERK methods is done across the broad range of properties, such as stability and accuracy efficiency, linear and nonlinear stability, error control reliability, step change stability, and dissipation/dispersion accuracy, subject to varying degrees of memory economization. Following van der Houwen and Wray, sixteen ERK pairs are presented using from two to five registers of memory per equation, per grid point and having accuracies from third- to fifth-order. Methods have been tested with not only DETEST, but also with the 1 D wave equation. Two of the methods have been applied to the DNS of a compressible jet as well as methane-air and hydrogen-air flames. Derived 3(2) and 4(3) pairs are competitive with existing full-storage methods. Although a substantial efficiency penalty accompanies use of two- and three-register, fifth-order methods, the best contemporary full-storage methods can be nearly matched while still saving 2-3 registers of memory. |
Author | Kennedy, Christopher A. Carpenter, Mark H. Lewis, R.Michael |
Author_xml | – sequence: 1 givenname: Christopher A. surname: Kennedy fullname: Kennedy, Christopher A. email: cakenne@ca.sandia.gov organization: Combustion Research Facility, Sandia National Laboratories, Livermore, CA 94551-0969, USA – sequence: 2 givenname: Mark H. surname: Carpenter fullname: Carpenter, Mark H. organization: Computational Methods and Simulation Branch, NASA Langley Research Center, Hampton, VA 23681-0001, USA – sequence: 3 givenname: R.Michael surname: Lewis fullname: Lewis, R.Michael organization: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, Hampton, VA 23681, USA |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1530694$$DView record in Pascal Francis |
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Keywords | Wave equation Methane Grid pattern Differential equation Hydrogen Optimization method Feedback regulation Air Step Runge Kutta method Properties Dispersion Partial differential equation Direct method Accuracy Navier Stokes equation Register Dissipation Jet Numerical simulation Linear stability Reliability Explicit Runge kutta method Compressible flow |
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Snippet | The derivation of low-storage, explicit Runge–Kutta (ERK) schemes has been performed in the context of integrating the compressible Navier–Stokes equations via... The derivation of low-storage, explicit Runge-Kutta (ERK) schemes has been performed in the context of integrating the compressible Navier-Stokes equations via... |
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SubjectTerms | Compressible flows; shock and detonation phenomena Exact sciences and technology Fluid dynamics Fundamental areas of phenomenology (including applications) Mathematics Numerical analysis Numerical analysis. Scientific computation Ordinary differential equations Physics Sciences and techniques of general use |
Title | Low-storage, explicit Runge–Kutta schemes for the compressible Navier–Stokes equations |
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