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Parameter Optimization of Tuned Mass Damper Inerter via Adaptive Harmony Search

Yaren Aydın1, Gebrail Bekdaş1,*, Sinan Melih Nigdeli1, Zong Woo Geem2,*

1 Department of Civil Engineering, Istanbul University-Cerrahpaşa, Istanbul, 34320, Türkiye
2 Department of Smart City, Gachon University, Seongnam, 13120, Republic of Korea

* Corresponding Authors: Gebrail Bekdaş. Email: email; Zong Woo Geem. Email: email

(This article belongs to the Special Issue: Soft Computing Applications of Civil Engineering including AI-based Optimization and Prediction)

Computer Modeling in Engineering & Sciences 2024, 141(3), 2471-2499. https://doi.org/10.32604/cmes.2024.056693

Abstract

Dynamic impacts such as wind and earthquakes cause loss of life and economic damage. To ensure safety against these effects, various measures have been taken from past to present and solutions have been developed using different technologies. Tall buildings are more susceptible to vibrations such as wind and earthquakes. Therefore, vibration control has become an important issue in civil engineering. This study optimizes tuned mass damper inerter (TMDI) using far-fault ground motion records. This study derives the optimum parameters of TMDI using the Adaptive Harmony Search algorithm. Structure displacement and total acceleration against earthquake load are analyzed to assess the performance of the TMDI system. The effect of the inerter when connected to different floors is observed, and the results are compared to the conventional tuned mass damper (TMD). It is indicated that the case of connecting the inerter force to the 5th floor gives better results. As a result, TMD and TMDI systems reduce the displacement by 21.87% and 25.45%, respectively, and the total acceleration by 25.45% and 19.59%, respectively. These percentage reductions indicated that the structure resilience against dynamic loads can be increased using control systems.

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APA Style
Aydın, Y., Bekdaş, G., Nigdeli, S.M., Geem, Z.W. (2024). Parameter optimization of tuned mass damper inerter via adaptive harmony search. Computer Modeling in Engineering & Sciences, 141(3), 2471-2499. https://doi.org/10.32604/cmes.2024.056693
Vancouver Style
Aydın Y, Bekdaş G, Nigdeli SM, Geem ZW. Parameter optimization of tuned mass damper inerter via adaptive harmony search. Comput Model Eng Sci. 2024;141(3):2471-2499 https://doi.org/10.32604/cmes.2024.056693
IEEE Style
Y. Aydın, G. Bekdaş, S.M. Nigdeli, and Z.W. Geem, “Parameter Optimization of Tuned Mass Damper Inerter via Adaptive Harmony Search,” Comput. Model. Eng. Sci., vol. 141, no. 3, pp. 2471-2499, 2024. https://doi.org/10.32604/cmes.2024.056693



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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