Computational Wind Engineering for Optimal Path Planning of Unmanned Aerial Vehicles

The current work represents an analysis of Computational Wind Engineering of a dense complex urban environment and translation of the results to optimizing the path planning for Unmanned Aerial Vehicles (UAV). Investigations into the behavior of the k-e and k-ω SST turbulence models on sufficiently representative geometries were conducted. The steady-state simulations are done on the Architectural Institute of Japan (AIJ) Case B and Case F geometries. The steady-state data obtained will then need to be translated to transient data in order to better represent flow characteristics that an Unmanned Aerial Vehicles (UAV) will experience. The performance of the k-ω SST is deemed better than that of the k-e model for path optimization.

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