论文标题

从旁路过渡到流控制和数据驱动的湍流建模:输入输出视点

From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint

论文作者

Jovanović, Mihailo R.

论文摘要

瞬时生长和分解分析通常用于评估流体流的非肿瘤特性。特别是,可以将分解分析解释为一种特殊情况,即将流动动力学视为一个开放系统,在这种系统中,自由流湍流,表面粗糙度和其他不规则性提供了强迫的来源。我们提供了一个全面的摘要,概述可用于探测在这种随机或确定性输入强迫的情况下椎板或湍流基础流动的动力学的动态,并描述输入输出技术如何增强分析分析。具体而言,通过详细检查空间定位的体力和状态变量的选定线性组合之间的投入输出响应,可以获得分解分析中可能隐藏的物理见解。这种不同的特征在量化不同机制对于壁挂式剪切流中旁路过渡的重要性以及解释湍流喷气机的产生噪声的重要性。我们强调了一个随机框架(带有白色或彩色输入)的实用性,以解决各种开放挑战,包括复杂流体,流量控制和物理感知数据驱动的湍流建模的过渡。讨论了时间或空间周期性基础流的应用,并概述了未来的研究方向。

Transient growth and resolvent analyses are routinely used to assess non-asymptotic properties of fluid flows. In particular, resolvent analysis can be interpreted as a special case of viewing flow dynamics as an open system in which free-stream turbulence, surface roughness, and other irregularities provide sources of input forcing. We offer a comprehensive summary of the tools that can be employed to probe the dynamics of fluctuations around a laminar or turbulent base flow in the presence of such stochastic or deterministic input forcing and describe how input-output techniques enhance resolvent analysis. Specifically, physical insights that may remain hidden in the resolvent analysis are gained by detailed examination of input-output responses between spatially-localized body forces and selected linear combinations of state variables. This differentiating feature plays a key role in quantifying the importance of different mechanisms for bypass transition in wall-bounded shear flows and in explaining how turbulent jets generate noise. We highlight the utility of a stochastic framework, with white or colored inputs, in addressing a variety of open challenges including transition in complex fluids, flow control, and physics-aware data-driven turbulence modeling. Applications with time- or spatially-periodic base flows are discussed and future research directions are outlined.

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