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arXiv physics/0404114physics.flu-dynastro-ph
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turbulence的“第零定律”:各向同性turbulence模拟的再探讨

The "zeroth law" of turbulence: Isotropic turbulence simulations revisited

Bruce R. Pearson, Tarek A. Yousef, Nils Erland L. Haugen, Axel Brandenburg, Per A. Krogstad

摘要:

通过对统计定常的、可压缩的各向同性箱湍流的数值模拟,估算了无量纲动能能量耗散率C_(?)泰勒微尺度雷诺数Re_lambda的范围为20 < Re_lambda < 220,统计平稳性是用随机相位强迫方法实现的。当Re_lambda近似时,C_∞对Re_lambda的强依赖性减弱. 100之后,C_(max)缓慢接近约0.5 a值,与先前报道的模拟略有不同,但与实验结果吻合良好。如果在特定的时间步长从所涉及的量的时间序列中估计C_∞,则有必要考虑能量注入和能量耗散之间的时间滞后。此外,所得值可以与总体平均值相差高达± 30%。这可能解释了先前公布的C_p估算结果的差异。

英文摘要:

The dimensionless kinetic energy dissipation rate C_epsilon is estimated from numerical simulations of statistically stationary isotropic box turbulence that is slightly compressible. The Taylor microscale Reynolds number Re_lambda range is 20 < Re_lambda < 220 and the statistical stationarity is achieved with a random phase forcing method. The strong Re_lambda dependence of C_epsilon abates when Re_lambda approx. 100 after which C_epsilon slowly approaches approx 0.5 a value slightly different to previously reported simulations but in good agreement with experimental results. If C_epsilon is estimated at a specific time step from the time series of the quantities involved it is necessary to account for the time lag between energy injection and energy dissipation. Also, the resulting value can differ from the ensemble averaged value by up to +-30%. This may explain the spread in results from previously published estimates of C_epsilon.

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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