Wang Xueying, Shih Hong-Yan, Goldenfeld Nigel
Department of Physics, University of Illinois at Urbana-Champaign, Loomis Laboratory of Physics, 1110 West Green Street, Urbana, Illinois 61801-3080, USA.
Institute of Physics, Academia Sinica, Taipei 11529, Taiwan.
Phys Rev Lett. 2022 Jul 15;129(3):034501. doi: 10.1103/PhysRevLett.129.034501.
The transition to turbulence in wall-bounded shear flows is typically subcritical, with a poorly understood interplay between spatial fluctuations, pattern formation, and stochasticity near the critical Reynolds number. Here, we present a spatially extended stochastic minimal model for the energy budget in transitional pipe flow, which successfully recapitulates the way localized patches of turbulence (puffs) decay, split, and grow, respectively, as the Reynolds number increases through the laminar-turbulent transition. Our approach takes into account the flow geometry, as we demonstrate by extending the model to quasi-one-dimensional Taylor-Couette flow, reproducing the observed directed percolation pattern of turbulent patches in space and time.
壁面边界剪切流中向湍流的转变通常是亚临界的,在临界雷诺数附近,空间波动、模式形成和随机性之间的相互作用尚不清楚。在此,我们提出了一个用于过渡管道流能量平衡的空间扩展随机最小模型,该模型成功地概括了随着雷诺数通过层流 - 湍流转变而增加时,局部湍流斑块(气团)分别衰减、分裂和增长的方式。我们的方法考虑了流动几何形状,正如我们通过将模型扩展到准一维泰勒 - 库埃特流所证明的那样,该扩展模型再现了在空间和时间上观察到的湍流斑块的定向渗流模式。