论文标题

输入输出启发的方法,用于允许的过渡壁剪切剪切流的驱动振幅

An input-output inspired method for permissible perturbation amplitude of transitional wall-bounded shear flows

论文作者

Liu, Chang, Gayme, Dennice F.

论文摘要

管理壁挂剪切流中湍流过渡到湍流的精确参数仍然是一个悬而未决的问题。已经获得了许多理论界限,但是这些界限与实验/仿真结果之间尚未达成共识。在这项工作中,我们专注于一种方法,以提供可证明的雷诺数数字,依赖于流量可以维持层状状态的扰动幅度的限制。我们的分析依赖于输入 - 输出方法,该方法将动力学划分为线性和非线性动力学的反馈互连(即,将非线性表示为静态反馈)。然后,我们构建非线性术语的二次约束,该术语受系统物理的限制为能量持势(无损)并具有有限的输入输入 - 输出能量。然后,计算层状状态(安全扰动)和允许的扰动振幅的吸引区域,然后将线性矩阵不平等(LMI)重新构建,该线性矩阵不平等(LMI)比基于正方形编程的总和的非线性方法提供了更有效的计算效率解决方案。所提出的框架也可以用于能量方法计算和线性稳定性分析。我们将方法应用于一系列雷诺数的低维非线性剪切流模型。我们分析得出的界限的结果与通过详尽的模拟确定的界限一致。但是,它们具有以低得多的计算成本来实现的额外好处,并提供了可证明的保证,即允许一定程度的扰动。

The precise set of parameters governing the transition to turbulence in wall-bounded shear flows remains an open question; many theoretical bounds have been obtained, but there is not yet a consensus between these bounds and experimental/simulation results. In this work, we focus on a method to provide a provable Reynolds number dependent bound on the amplitude of perturbations a flow can sustain while maintaining the laminar state. Our analysis relies on an input--output approach that partitions the dynamics into a feedback interconnection of the linear and nonlinear dynamics (i.e., a Luré system that represents the nonlinearity as static feedback). We then construct quadratic constraints of the nonlinear term that is restricted by system physics to be energy-conserving (lossless) and to have bounded input--output energy. Computing the region of attraction of the laminar state (set of safe perturbations) and permissible perturbation amplitude are then reformulated as Linear Matrix Inequalities (LMI), which provides a more computationally efficient solution than prevailing nonlinear approaches based on the sum of squares programming. The proposed framework can also be used for energy method computations and linear stability analysis. We apply our approach to low dimensional nonlinear shear flow models for a range of Reynolds numbers. The results from our analytically derived bounds are consistent with the bounds identified through exhaustive simulations. However, they have the added benefit of being achieved at a much lower computational cost and providing a provable guarantee that a certain level of perturbation is permissible.

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