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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
European Union Aviation Safety Agency. https://www.easa.europa.eu/sites/default/files/dfu/CS-25%20Amendment%2024.pdf, Certification Specifications and Acceptable Means of Compliance for Large Aeroplanes CS-25, Amendment 24 (2020). Accessed 12 May 2020
C. Wales, C. Valente, R. Cook, A. Gaitonde, D. Jones, J.E. Cooper, The future of non-linear modelling of aeroelastic gust interaction. in 2018 Applied Aerodynamics Conference, June 2018
D. Friedewald, R. Thormann, C. Kaiser, J. Nitzsche, Quasi-steady doublet-lattice correction for aerodynamic gust response prediction in attached and separated transonic flow. CEAS Aeronaut. J. 9(1), 53–66 (2018)
R. Heinrich, L. Reimer, Comparison of different approaches for gust modeling in the CFD code Tau. in International Forum on Aeroelasticity & Structural Dynamics, June 2013
C. Wales, D. Jones, A. Gaitonde, Prescribed velocity method for simulation of aerofoil gust responses. J. Aircr. 52(1), 64–76 (2015)
D. Schwamborn, T. Gerhold, R. Heinrich, The DLR TAU-code, recent applications in research and industry. in European Conference on Computational Fluid Dynamics ECCOMAS CFD, September 2006
R. Heinrich, L. Reimer, Comparison of different approaches for modeling of atmospheric effects like gusts and wake-vortices in the CFD code tau. in International Forum on Aeroelasticity & Structural Dynamics, June 2017
J. Müller, M. Ehrle, T. Lutz, E. Krämer: Numerical simulation of the FNG wing section in turbulent inflow. In High Performance Computing in Science and Engineering ’19, ed. by W.E. Nagel, D.H. Kröner, M.M. Resch (Springer, Cham, 2021), pp. 435–450
J. Müller, T. Lutz, E. Krämer, Numerical simulation of the swept FNG wing in atmospheric turbulence. in AIAA Aviation 2020 Forum, June 2020
K. Wawrzinek, T. Lutz, E. Krämer, Numerical simulations of artificial disturbance influence on a high lift airfoil. in High Performance Computing in Science and Engineering ’17, ed. by W.E. Nagel, D.H. Kröner, M.M. Resch (Springer International Publishing, Cham, 2018), pp. 323–337
Acknowledgements
The authors gratefully acknowledge the Federal Ministry for Economic Affairs and Energy, which funded the work presented in this report as part of the LuFo project VitAM-Turbulence. Also, we acknowledge the High Performance Computing Center Stuttgart (HLRS) for the provision of computational resources and the continued support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Müller, J., Hillebrand, M., Ehrle, M., Schollenberger, M., Lutz, T., Krämer, E. (2021). Studies on the Applicability of a Simplified Gust Simulation Approach in the CFD Code TAU. In: Nagel, W.E., Kröner, D.H., Resch, M.M. (eds) High Performance Computing in Science and Engineering '20. Springer, Cham. https://doi.org/10.1007/978-3-030-80602-6_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-80602-6_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-80601-9
Online ISBN: 978-3-030-80602-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)