Machine learning-based model for prediction of optimum TMD parameters in time-domain history-Reference-Cited by-同舟云学术

Machine learning-based model for prediction of optimum TMD parameters in time-domain history

Published:2024-03-10 Issue:4 Volume:46 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Yucel Melda^ORCID,Bekdaş Gebrail,Nigdeli Sinan Melih

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40430-024-04747-8.pdf

Reference45 articles.

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2. Aldemir U (2003) Optimal control of structures with semiactive-tuned mass dampers. J Sound Vib 266(4):847–874. https://doi.org/10.1016/S0022-460X(03)00191-3

3. Bekdaş G, Nigdeli SM (2011) Estimating optimum parameters of tuned mass dampers using harmony search. Eng Struct 33(9):2716–2723. https://doi.org/10.1016/j.engstruct.2011.05.024

4. Caicedo D, Lara-Valencia L, Blandon J, Graciano C (2021) Seismic response of high-rise buildings through metaheuristic-based optimization using tuned mass dampers and tuned mass dampers inerter. J Build Eng 34:101927. https://doi.org/10.1016/j.jobe.2020.101927

5. Clark AJ (1988) Multiple passive tuned mass dampers for reducing earthquake induced building motion. In: Proceedings of the 9th world conference on earthquake engineering. Tokyo-Kyoto-Japan, 779–784, 2–9 Aug 1988

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