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arXiv 1805.06313math.NAcs.NA
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线性问题中Flux Reconstruction的时域稳定化

Temporal Stabilisation of Flux Reconstruction on Linear Problems

University of Cambridge(剑桥大学)

Will Trojak, Rob Watson, Paul G. Tucker

AI总结:

本文研究了高阶Flux Reconstruction在参考域中的滤波对时域稳定性的影响,通过Von Neumann分析展示了滤波对耗散和色散的影响,并通过湍流Taylor-Green案例验证了滤波对湍流过渡的作用。

摘要:

在大涡模拟中,通常使用全局滤波宽度进行滤波,但本文考虑了参考域中的高阶Flux Reconstruction滤波宽度。通过Von Neumann分析,展示了滤波对方案在时空离散化后的色散和耗散的影响。结果显示,滤波可使四阶FR方案的时域稳定性提高高达25%。通过计算滤波对误差生成的影响,突显了由于对流速度减小导致的误差降低,并通过数值实验展示了对精度阶的影响。最后,通过湍流Taylor-Green案例研究了参考域滤波对湍流过渡的影响,并定义了一个滤波雷诺数,用于理解滤波对模拟效果的影响。

英文摘要:

Filtering is often used in Large Eddy Simulation with a global filter width, instead here a filter width in the reference domain of high order Flux Reconstruction is considered. It is shown via Von Neumann analysis how filtering effects the dispersion and dissipation of the scheme when spatially and temporally discretised. With it being shown that filtering stabilises the scheme temporally by upto $25\%$ for forth order FR. The impact of filtering on error production is calculated, highlighting the reduction in convective velocity caused and showing numerically the impact on order of accuracy. Finally, the turbulent Taylor-Green case is used to understand the effect of reference domain filtering on the transition to turbulence, and a filter Reynolds number is defined that is shown to be useful in understanding the effect of filtering on simulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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