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Structural Optimization of a Reduced-Scale Model of a Wind Mill Tower for Wind Tunnel Testing

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Proceedings of the XV Conference of the Italian Association for Wind Engineering (IN VENTO 2018)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 27))

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Abstract

This paper describes a research carried out for the design of a wind mill tower reduced-scale model to be built and tested in the boundary layer wind tunnel at the University of La Coruña. It is well known that one of the many requirement of a reduced-scale model is its capability of reproduce the natural frequencies and vibration modes of the real structure. In this research, this is achieved by using a technique developed by the authors in a previous work and adapted to this particular case. This technique is based on the use of optimization algorithms, allowing the minimization of the error between these dynamic properties of the reduced-scale model and the target values. The numerical results are presented.

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Acknowledgements

The research leading to these results has received funding from ACCIONA Windpower, the Spanish Minister of Economy and Competitiveness (MINECO) with reference BIA2016-76656-R. The first author has been also founded by the Fundación Pedro Barrié de la Maza and the University of La Coruña. The fourth author have been founded by grant BES-2014-068418. The authors fully acknowledge the support received.

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Correspondence to M. Cid Montoya .

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Cid Montoya, M., Hernández, S., López, C., Álvarez, A., Romera, L., Jurado, J.Á. (2019). Structural Optimization of a Reduced-Scale Model of a Wind Mill Tower for Wind Tunnel Testing. In: Ricciardelli, F., Avossa, A. (eds) Proceedings of the XV Conference of the Italian Association for Wind Engineering. IN VENTO 2018. Lecture Notes in Civil Engineering, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-030-12815-9_20

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  • DOI: https://doi.org/10.1007/978-3-030-12815-9_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12814-2

  • Online ISBN: 978-3-030-12815-9

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