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APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - An examination of effects of finite resolution and sampling uncertainties in large-scale direct numerical simulations of turbulence

机译:APS -70TH流体动力学APS划分的年会 - 事件 - 在大规模直接数值模拟中的有限分辨率和采样不确定性的影响

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Advances in computing power have allowed turbulence simulations to be conducted using massive computational resources of such magnitudes that make rigorous examinations of numerical fidelity in the results ever more important. One common practice in checking for resolution effects is to refine the grid, then integrate over a substantial time period, and compare the results, which will however differ also for reasons of statistical sampling. Another alternative which focuses on local instead of global errors is to begin from the best-resolved simulation available, and progressively filters out high-wavenumber contributions, to identify which features remain and hence may be robust even at more modest resolution. This approach has been applied to the statistics of dissipation and enstrophy in short-time datasets at resolution $16{,}384^3$ for forced isotropic turbulence. In this manner, and using results on the cumulative distribution function, we are also able to separate deterministic errors due to the numerics from errors due to finite statistical sampling.
机译:计算能力的进步使得湍流模拟进行了这种大幅度的大规模计算资源,使得在结果中的数值保真度进行严格检查。检查分辨率效果的一个常见做法是改进网格,然后在大量时间段内集成,并比较结果,但是由于统计采样的原因也会有所不同。侧重于本地而不是全局错误的另一种选择是从可用的最佳解析模拟开始,并且逐步过滤出高波数字贡献,以确定剩余的特征,因此即使在更适度的分辨率下也可能是坚固的。这种方法已应用于短时数据集的耗散和敌对统计数据,以16亿美元,强制各向同性湍流。以这种方式,并使用结果对累积分布函数,我们还能够分离由于有限统计采样而来自误差的数字而分开确定性误差。

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