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首页> 外文期刊>Journal of Computational Physics >A high-order numerical algorithm for DNS of low-Mach-number reactive flows with detailed chemistry and quasi-spectral accuracy
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A high-order numerical algorithm for DNS of low-Mach-number reactive flows with detailed chemistry and quasi-spectral accuracy

机译:低马赫数反应流DNS的高阶数值算法,具有详细的化学性质和准光谱精度

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摘要

A novel and efficient algorithm is presented in this paper to deal with DNS of turbulent reacting flows under the low-Mach-number assumption, with detailed chemistry and a quasi-spectral accuracy. The temporal integration of the equations relies on an operatingsplit strategy, where chemical reactions are solved implicitly with a stiff solver and the convection-diffusion operators are solved with a Runge-Kutta-Chebyshev method. The spatial discretisation is performed with high-order compact schemes, and a FFT based constant-coefficient spectral solver is employed to solve a variable-coefficient Poisson equation. The numerical implementation takes advantage of the 2DECOMP&FFT libraries developed by [1], which are based on a pencil decomposition method of the domain and are proven to be computationally very efficient. An enhanced pressure-correction method is proposed to speed up the achievement of machine precision accuracy. It is demonstrated that a second-order accuracy is reached in time, while the spatial accuracy ranges from fourth-order to sixth-order depending on the set of imposed boundary conditions. The software developed to implement the present algorithm is called HOLOMAC, and its numerical efficiency opens the way to deal with DNS of reacting flows to understand complex turbulent and chemical phenomena in flames. (C) 2016 Elsevier Inc. All rights reserved.
机译:提出了一种新颖有效的算法,在低马赫数假设下处理湍流反应流的DNS,具有详细的化学性质和准光谱精度。方程的时间积分依赖于操作分裂策略,其中使用刚性求解器隐式求解化学反应,并使用Runge-Kutta-Chebyshev方法求解对流扩散算子。使用高阶紧密方案执行空间离散化,并使用基于FFT的恒定系数频谱求解器来求解可变系数Poisson方程。数值实现利用了[1]开发的2DECOMP&FFT库,该库基于域的铅笔分解方法,并被证明在计算上非常有效。提出了一种改进的压力校正方法,以加快实现机器精度的速度。证明了及时达到二阶精度,而空间精度取决于施加的边界条件的集合,从四阶到六阶。为实现本算法而开发的软件称为HOLOMAC,其数值效率为处理反应流的DNS以了解火焰中的复杂湍流和化学现象开辟了道路。 (C)2016 Elsevier Inc.保留所有权利。

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