Aerodynamics of turbulent flow over porous surfaces

建议使用先进的流动诊断方法进行风洞实验，以获得高保真的实验数据，以实现深度学习算法，并开发新的数据驱动的RAN和LES模型。从理解粗糙和多孔表面上的湍流的角度来看，这项工作将是一个巨大的进步，这将从这种分析能力中受益匪浅。此外，应用先进的技术并证明它们在处理最复杂的问题方面是有用的，这可能是许多研究人员将遵循的趋势。

It is proposed to perform wind tunnel experiments using advanced flow diagnosticmethods to obtain high-fidelity experimental data, in order to implement deep learning algorithmsand develop new data driven RANS and LES models. This work would be a great improvementfrom the point of view of understanding turbulent flow over rough and porous surfaces, whichwould benefit greatly from this analytical capacity. Furthermore, applying advanced technologiesand demonstrating that they are useful in dealing with the most complex problems may be a trendthat many researchers will follow.