Computational Wind Engineering for Optimal Path Planning of Unmanned Aerial Vehicles

Ho, S.Y.B., Hesse, H. and Ibrahim, I. (2018) Computational Wind Engineering for Optimal Path Planning of Unmanned Aerial Vehicles. In: International Conference on Computational Fluid Dynamics, Barcelona, Spain, 9-13 Jul 2018,

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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-ε 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-ε model for path optimization.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Hesse, Dr Henrik and Ibrahim, Dr Imran
Authors: Ho, S.Y.B., Hesse, H., and Ibrahim, I.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Copyright Holders:Copyright © 2018 The Authors
Publisher Policy:Reproduced with the permission of the publisher

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