Coherent Vortex Simulation of Flapping Flight in Turbulence

扑翼飞行空气动力学是一个跨学科、多物理场、多尺度的问题，对数值模拟具有挑战性。它涉及流体力学和固体力学的物理场，它们彼此密切相互作用，流场涉及跨越几个数量级的大量活动尺度。这种多尺度特征需要合适的数值方法：我们提出了相干涡度模拟。固液耦合也需要特殊处理，对此我们建议扩展体积惩罚法。除了提高收敛性和降低数值成本外，这还为昆虫气动声学等新应用打开了大门。这也是采用强化学习的先决条件。我们将使用这种机器学习技术来获得第一个能够在湍流中稳定飞行的虚拟动物。

The aerodynamics of flapping flight is an interdisciplinary multiphysics and multiscale problem, which makes it a challenge for numerical simulations. It involves the physical fields of fluid- and solid mechanics in close interaction with one another, and the flow field involves a multitude of active scales across several orders of magnitude. This multiscale character calls for suitable numerical methods: we propose coherent vorticity simulation in this proposal. The coupling between solid and fluid calls for special treatment as well, for which we suggest to extend the volume penalization method. Besides an improved convergence and lowered numerical cost, this opens the door for new applications such as insect aeroacoustics. It is also a prerequisite for employing reinforcement learning. We will use this machine learning technique to obtain the first virtual animal capable of flying stably in turbulence.