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International Conference on Computational Science

ICCS 2021: Computational Science – ICCS 2021 pp 105–115Cite as

Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12745))

Abstract

It is a very known issue that tuned mass dampers (TMDs) on an effective system for structures subjected to earthquake excitations. TMDs can be also used as a protective system for adjacent structures that may pound to each other. With a suitable optimization methodology, it is possible to find an optimally tuned TMD that is effective in reducing the responses of structure with an additional protective feature that reduces the amount of required seismic gap between adjacent structures by using an objective function. This function considers the displacement of structures with respect to each other. As the optimization methodology, the flower pollination algorithm (FPA) is used in finding the optimum parameters of TMDs of both structures. The method was evaluated on two 10-story adjacent structures and the optimum results were compared with harmony search (HS) based methodology.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, Istanbul University-Cerrahpaşa, Avcılar, Istanbul, Turkey

    Sinan Melih Nigdeli & Gebrail Bekdaş

  2. Department of Design Engineering and Maths, Middlesex University, Middlesex, London, UK

    Xin-She Yang

Authors
  1. Sinan Melih Nigdeli
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  2. Gebrail Bekdaş
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  3. Xin-She Yang
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Corresponding author

Correspondence to Sinan Melih Nigdeli .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Dieter Kranzlmüller

  3. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  4. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  5. University of Amsterdam, Amsterdam, The Netherlands

    Peter M.A. Sloot

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Nigdeli, S.M., Bekdaş, G., Yang, XS. (2021). Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12745. Springer, Cham. https://doi.org/10.1007/978-3-030-77970-2_9

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  • DOI: https://doi.org/10.1007/978-3-030-77970-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77969-6

  • Online ISBN: 978-3-030-77970-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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