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通过对控制扑翼飞行的模拟,实现了生物力学和流体动力学模型的耦合。

Model coupling biomechanics and fluid dynamics for the simulation of controlled flapping flight.

机构信息

Institute of Mechanics, Materials and Civil engineering, UCLouvain, Louvain-la-Neuve, Belgium.

出版信息

Bioinspir Biomim. 2021 Feb 25;16(2). doi: 10.1088/1748-3190/abdd9c.

Abstract

This paper proposes a multiphysics computational framework coupling biomechanics and aerodynamics for the simulation of bird flight. It features a biomechanical model based on the anatomy of a bird, which models the bones and feathers of the wing. The aerodynamic solver relies on a vortex particle-mesh method and represents the wing through an immersed lifting line, acting as a source of vorticity in the flow. An application of the numerical tool is presented in the modeling of the flight of a northern bald ibis (). The wing kinematics are imposed based on biological observations and controllers are developed to enable stable flight in a closed loop. Their design is based on a linearized model of flapping flight dynamics. The controller solves an underdetermination in the control parameters through minimization. The tool and the controllers are used in two simulations: one where the bird has to trim itself at a given flight speed, and another where it has to accelerate from a trimmed state to another at a higher speed. The bird wake is accurately represented. It is analyzed and compared to the widespread frozen-wake assumption, highlighting phenomena that the latter cannot capture. The method also allows the computation of the aerodynamic forces experienced by the flier, either through the lifting line method or through control-volume analysis. The computed power requirements at several flight speeds exhibit an order of magnitude and dependency on velocity in agreement with the literature.

摘要

本文提出了一种多物理计算框架,将生物力学和空气动力学相结合,用于模拟鸟类飞行。它的特点是基于鸟类解剖学的生物力学模型,对翅膀的骨骼和羽毛进行建模。空气动力学求解器依赖于涡粒子网格方法,并通过浸入式升力线表示翅膀,作为流场中涡量的源。数值工具的一个应用是在北方秃鹫的飞行建模中展示。基于生物观测来施加翅膀运动学,并开发控制器以实现闭环中的稳定飞行。它们的设计基于扑翼飞行动力学的线性化模型。控制器通过最小化来解决控制参数中的欠定问题。该工具和控制器用于两种模拟:一种是鸟类必须在给定的飞行速度下自行调整,另一种是鸟类必须从调整后的状态加速到更高的速度。准确地表示了鸟类的尾迹。对其进行了分析,并与广泛应用的冻结尾迹假设进行了比较,突出了后者无法捕捉到的现象。该方法还允许通过升力线方法或控制体分析来计算飞行器所经历的空气动力。在几个飞行速度下计算出的功率需求显示出与文献一致的量级和速度依赖性。

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