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Applying the Transmission Simulator Techniques to the Ampair 600 Wind Turbine Testbed

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Dynamics of Coupled Structures, Volume 4

Abstract

Predicting dynamic properties of modern industrial systems in their fully assembled state can be a challenging task. Numerical analysis or physical testing of the entire system is often not possible due to its sheer size or computational effort. Various substructuring and model reduction techniques make it possible to analyze the subcomponents separately and reunite their reduced representations to build the entire system later. However, models of all subcomponents are not always available or certain dynamic properties cannot be captured by FEM. Experimentally derived substructures become more and more important to overcome this problem. In this work the Transmission Simulator techniques are applied to a realistic FE model of the Ampair600 wind turbine to explore the chances and limitations of the method. The procedure to obtain the dynamic representation of the entire rotor derived from a hub-one-blade assembly is presented. Starting from an experimental free-free representation of the hub-one-blade assembly the hub is considered as flexible fixture and its FE representation is removed from the assembly. The obtained experimental Craig-Bampton-representation of one blade is then duplicated and circumferentially rotated to build the complete blading of the wind turbine. These three blades are finally coupled to the hub to complete the rotor.

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References

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Correspondence to Johann Gross .

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© 2016 The Society for Experimental Mechanics, Inc.

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Gross, J., Seeger, B., Peter, S., Reuss, P. (2016). Applying the Transmission Simulator Techniques to the Ampair 600 Wind Turbine Testbed. In: Allen, M., Mayes, R., Rixen, D. (eds) Dynamics of Coupled Structures, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-29763-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-29763-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29762-0

  • Online ISBN: 978-3-319-29763-7

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