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- W2146751195 abstract "The size of small flexible winged Unmanned Air Vehicles (UAVs) makes them particularly susceptible to gusts. Accordingly, a gust performance evaluation problem is formulated where the simulation of the gust response is treated as an aeroelastic problem. Generally, a high-fidelity simulation can result in a large computing effort that, being multiplied by a large number of calls for the aeroelastic simulation in the design optimization process, could make the latter prohibitively computationally expensive. Therefore, a multifidelity technique is employed, where a metamodel of the high-fidelity simulation response is built based on a tuned lower fidelity aeroelastic model. In order to address and validate such a multifidelity modelling approach, the linear aeroelastic equations of a 2D airfoil employing quasi-static aerodynamics are used for the lowfidelity model and solved analytically, whereas the nonlinear aeroelastic equations of a 2D airfoil employing unsteady aerodynamics are used for the high-fidelity model and solved numerically. Three different approaches to the low-fidelity model tuning are investigated and compared, both explicit and implicit. An application of the Moving Least Squares Method (MLSM) to the low-fidelity model tuning is also investigated. Good agreement between the high-fidelity model and the corrected low-fidelity model shows that a multifidelity model-based strategy is suitable for use in optimising the gust performance of small UAVs even in the presence of large structural deformations of their wings." @default.
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- W2146751195 date "2009-05-04" @default.
- W2146751195 modified "2023-09-26" @default.
- W2146751195 title "Metamodelling Based on High and Low Fidelity Model Interaction for UAV Gust Performance Optimization" @default.
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- W2146751195 doi "https://doi.org/10.2514/6.2009-2215" @default.
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