基于计算流体动力学建模与仿真的桥梁近距离检测中无人机的吊顶效应与飞行洞察

Pu Jiao, Bo Shang, Liujun Li, Ge-wei Chen
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引用次数: 1

摘要

在广泛的应用中,无人机面临着一些关键的挑战,例如在gps拒绝区域导航、避障以及有效载荷和飞行时间之间的权衡。密苏里科技大学的INSPIRE UTC正在开发一种夹持无人机,一种混合飞行和穿越机器人,使无人机能够在桥梁梁下飞行,抓住梁,并沿着梁移动以进行检查。当装备多个摄像头时,这种重型无人机难以在甲板下控制。本研究通过CFD建模和仿真来了解无人机在桥面下的飞行行为和吊顶效应。首先,利用三维扫描和逆向工程技术建立CFD模型。其次,进行了一系列单螺旋桨试验,验证了CFD建模过程和仿真结果。第三,基于单螺旋桨CFD分析验证的工作流程和技术,建立并分析了整个无人机的CFD模型,以预测无人机垂直接近桥顶时的行为并了解其与上边界的相互作用。CFD仿真结果表明,当无人机接近足够深度的标准桥面时,所设计的夹持无人机的吊顶效应不显著。研究结果可为桥梁检测夹持无人机的设计与控制提供技术参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE CEILING EFFECT AND FLIGHT INSIGHT OF UNMANNED AERIAL VEHICLES DURING PROXIMITY INSPECTION OF BRIDGES VIA COMPUTATIONAL FLUID DYNAMICS MODELING AND SIMULATIONS
UAVs face some critical challenges in pervasive applications, such as navigation in GPS-denying areas, obstacle avoidance, and tradeoff between payload and flight time. The INSPIRE UTC at Missouri S&T is developing a clamping UAV, a hybrid flying and traversing robot, to make it possible that the UAV flies under a bridge girder, grabs the girder, and moves along the girder for inspection. This heavy UAV is difficult to control underneath the deck when equipped with multiple cameras. In this study, CFD modeling and simulation are conducted to understand the flight behavior and ceiling effect of the UAV under the bridge deck. First, 3D scanning and reverse engineering are used to build CFD models. Second, a series of single propeller tests are conducted to validate the process of CFD modeling and the simulation results. Third, based on the workflow and technique validated through single propeller CFD analysis, the CFD model of an entire UAV is established and analyzed to predict the behavior of the UAV and understand its interaction with upper boundaries as it approaches the bridge ceiling vertically. The CFD simulation results show that the ceiling effect of the designed clamping UAV is insignificant when the UAV approaches the standard bridge deck with enough depth. These results provide a technical reference for the design and control of the clamping UAV for bridge inspection.
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