Aerodynamic Performance Evaluation of a Skydio UAV via CFD As a Platform for Bridge Girder Inspection: Phase 1 Study

Rodward L. Hewlin, Elizabeth Smith, Tara L. Cavalline, A. Karimoddini
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Abstract

The goal of the proposed work was to analyze the aerodynamic performance of a Skydio 6 unmanned aerial vehicle (UAV) as a supplementary tool for bridge girder inspections. The use of UAVs has become more attractive due to their ability to gather critical information in less time and at a lower cost when compared to traditional bridge girder inspection techniques. In pursuit of this goal, the present work presents aerodynamic performance evaluation results via computational fluid dynamics (CFD) of a Skydio 2 UAV for bridge girder inspection. The study is implemented using the commercially available CFD solver, ANSYS FLUENT (v. 19). The evaluation study utilized an unstructured tetrahedron meshing technique throughout the numerical analysis, with a standard k-epsilon turbulence model. The Multiple Reference Frame (MRF) model was also used to model the rotation of the propellers toward their local reference frame at 6000 revolutions per minute (RPM). This paper presents the numerical modeling methodology as well as a discussion of parametric results. The parametric results presented show reliable moment coefficient and thrust making the Skydio 2 UAV suitable for bridge inspection.
基于CFD平台的Skydio无人机桥梁梁检测气动性能评估:第一阶段研究
提出的工作目标是分析Skydio 6无人机(UAV)的气动性能,作为桥梁梁检测的补充工具。与传统的桥梁梁检测技术相比,由于无人机能够在更短的时间内以更低的成本收集关键信息,因此无人机的使用变得更具吸引力。为了实现这一目标,本文通过计算流体动力学(CFD)对Skydio 2型桥梁梁检测无人机的气动性能进行了评估。该研究是使用市售的CFD求解器ANSYS FLUENT (v. 19)实现的。评估研究在整个数值分析中使用了非结构化四面体网格技术,并采用标准k-epsilon湍流模型。多参考框架(MRF)模型也被用来模拟螺旋桨以每分钟6000转(RPM)的速度向其本地参考框架旋转。本文给出了数值模拟方法,并对参数结果进行了讨论。参数分析结果表明,Skydio 2无人机的力矩系数和推力可靠,适用于桥梁检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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