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Low-Storage, Explicit Runge-Kutta Schemes for the Compressible Navier-Stokes Equations

机译:可存储的Navier-Stokes方程的低存储显式Runge-Kutta方案

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摘要

The derivation of 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, 16 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 assessed using the differential equation testing code DETEST, and 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 pearl), matched while still saving two to three registers of memory.
机译:在通过直接数值模拟集成可压缩的Navier-Stokes方程的背景下,执行了存储显式Runge-Kutta(ERK)方案的推导。 ERK方法的优化是在广泛的性能范围内完成的,例如稳定性和精度效率,线性和非线性稳定性,错误控制可靠性,阶跃变化稳定性以及耗散/分散精度,这取决于不同程度的内存节省。在van der Houwen和Wray之后,提出了16个ERK对,每个方程式,每个网格点使用2至5个内存寄存器,并且精度从三阶到五阶。方法已使用微分方程测试代码DETEST以及一维波动方程进行了评估。其中两种方法已应用于可压缩射流的DNS以及甲烷-空气和氢-空气火焰。派生的3(2)和4(3)对与现有的全存储方法具有竞争力。尽管使用两个寄存器和三个寄存器的五阶方法会带来相当大的效率损失,但最好的当代全存储方法可以是相匹配的,同时仍然可以节省两个到三个寄存器的内存。

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