模态力分解——一种确定分解流模态气动载荷的方法及其在气动声学噪声中的应用
Modal Force Partitioning -- A Method for Determining the Aerodynamic Loads for Decomposed Flow Modes with Application to Aeroacoustic Noise
AI总结：
提出一种模态力分解方法，结合力分解与模态分解技术，通过直接分解Q场识别主导气动载荷的流场结构，并揭示其与远场气动声学噪声的关联。
摘要：
气动载荷在许多流体动力学应用中起核心作用，我们提出了一种方法，用于识别流场中对时变气动载荷做出主导贡献的结构（或模态）。该方法结合了力分解方法（Menon和Mittal, J. Fluid Mech., 907:A37, 2021）和模态分解技术，如雷诺分解、三重分解和本征正交分解，并在此应用于三个不同的流场——二维圆柱和翼型绕流，以及三维旋转矩形机翼绕流。我们表明，将力分解方法应用于速度场的模态分解会导致复杂且难以解释的模态间相互作用。因此，我们提出并应用模态分解直接作用于与这些流场相关的 $Q$ 场。变量 $Q$ 是一个非线性观测量，通常用于识别流场中的涡，我们发现直接分解 $Q$ 能得到更易于解释的结果。我们还证明，这种模态力分解可以扩展用于提供对这些流场远场气动声学载荷噪声的见解。
英文摘要：
Aerodynamic loads play a central role in many fluid dynamics applications, and we present a method for identifying the structures (or modes) in a flow that make dominant contributions to the time-varying aerodynamic loads in a flow. The method results from the combination of the force partitioning method (Menon and Mittal, J. Fluid Mech., 907:A37, 2021) and modal decomposition techniques such as Reynolds decomposition, triple decomposition, and proper orthogonal decomposition, and is applied here to three distinct flows - two-dimensional flows past a circular cylinder and an airfoil, and the three-dimensional flow over a revolving rectangular wing. We show that the force partitioning method applied to modal decomposition of velocity fields results in complex, and difficult to interpret inter-modal interactions. We therefore propose and apply modal decomposition directly to the $Q$-field associated with these flows. The variable $Q$ is a non-linear observable that is typically used to identify vortices in a flow, and we find that the direct decomposition of $Q$ leads to results that are more amenable to interpretation. We also demonstrate that this modal force partitioning can be extended to provide insights into the far-field aeroacoustic loading noise of these flows.
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。
