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Multidisciplinary Simulation for Gust Load Alleviation Control Surface Analysis

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New Results in Numerical and Experimental Fluid Mechanics XII (DGLR 2018)

Part of the book series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design ((NNFM,volume 142))

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Abstract

The structural dimensioning of an airplane will be significantly influenced by gust, maneuver and ground loads. Adaptive load alleviations methods (keyword: 1g-wing) promise the potential reducing the maximum loads and therefore the structural weight. For the appropriate analysis of such load alleviation technologies a multidisciplinary approach is necessary. In order to achieve this objective a process chain for gust encounter simulation is applied using high fidelity methods for the disciplines aerodynamics, structural dynamics and flight mechanics, which are coupled in the time domain. Within multidisciplinary simulations of a generic transport aircraft configuration with and without aileron deflections the influence of vertical gusts on the resultant forces, moments, load distributions on the wing and on the horizontal tail plane are presented.

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References

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Acknowledgment

For the simulations of multidisciplinary gust encounter calculations, a process chain was used, which was developed within the DLR project Digital-X. The authors would like to thank Markus Ritter of the DLR Institute for Aeroelasticity, who was responsible for the development of this process chain.

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Correspondence to Andreas Hübner .

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Hübner, A., Reimer, L. (2020). Multidisciplinary Simulation for Gust Load Alleviation Control Surface Analysis. In: Dillmann, A., Heller, G., Krämer, E., Wagner, C., Tropea, C., Jakirlić, S. (eds) New Results in Numerical and Experimental Fluid Mechanics XII. DGLR 2018. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-030-25253-3_55

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  • DOI: https://doi.org/10.1007/978-3-030-25253-3_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25252-6

  • Online ISBN: 978-3-030-25253-3

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