Studies on the Applicability of a Simplified Gust Simulation Approach in the CFD Code TAU

Jens Müller (), Marco Hillebrand, Maximilian Ehrle, Michael Schollenberger, Thorsten Lutz and Ewald Krämer
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Jens Müller: University of Stuttgart, Faculty 6: Aerospace Engineering and Geodesy, Institute of Aerodynamics and Gas Dynamics
Marco Hillebrand: University of Stuttgart, Faculty 6: Aerospace Engineering and Geodesy, Institute of Aerodynamics and Gas Dynamics
Maximilian Ehrle: University of Stuttgart, Faculty 6: Aerospace Engineering and Geodesy, Institute of Aerodynamics and Gas Dynamics
Michael Schollenberger: University of Stuttgart, Faculty 6: Aerospace Engineering and Geodesy, Institute of Aerodynamics and Gas Dynamics
Thorsten Lutz: University of Stuttgart, Faculty 6: Aerospace Engineering and Geodesy, Institute of Aerodynamics and Gas Dynamics
Ewald Krämer: University of Stuttgart, Faculty 6: Aerospace Engineering and Geodesy, Institute of Aerodynamics and Gas Dynamics

A chapter in High Performance Computing in Science and Engineering '20, 2021, pp 401-418 from Springer

Abstract: Abstract A simplified method for gust modeling in CFD simulations, the so-called Disturbance Velocity Approach (DVA), is analyzed within this work. This approach covers the influence of a gust on an aircraft but neglects the influence of the aircraft on the gust. Simulations of an airfoil encountering different “1-cos” gusts were performed. The results of the DVA are compared to simulations where the gust is fully resolved and propagated within the flow field and all interactions are considered. It is shown that the simplified approach provides satisfying results for gust wavelengths larger than the chord length. At smaller wavelength significant deviations to the resolved simulations exist especially regarding the pitching moment. In the present study angle of attack and airfoil shape were varied and the aerodynamic effects influencing the accuracy of the simplified approach are identified. The DVA also provides satisfying results for superposition of different gust signals. A scaling test of the TAU code on the HPE Hawk demonstrates good scalability.

Date: 2021
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DOI: 10.1007/978-3-030-80602-6_26

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