Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12305
Title: Optimal design of elastic and elastoplastic tuned mass dampers using the Mouth Brooding Fish algorithm for linear and nonlinear structures
Authors: Roozbahan, Mostafa
Jahani, Ehsan
01. Izmir Institute of Technology
Mazandaran University of Iran
Keywords: Elastoplastic
Mouth Brooding Fish algorithm
Nonlinear structure
Tuned mass damper
Issue Date: Jul-2022
Publisher: Elsevier
Abstract: A tuned mass damper (TMD) is a vibration control system used to reduce the structural responses to earthquakes and extreme wind loads. The performance of a TMD depends on its parameters, such as mass, damping coefficient, and stiffness. Therefore, several methods have been proposed to optimize the parameters of TMDs. This paper proposes a new method for optimizing TMDs' parameters using the Mouth Brooding Fish (MBF) algorithm based on white noise excitations. The effectiveness of TMDs optimized using the proposed method and other methods in reducing the maximum displacement of a ten-story linear structure was compared. The results indicated that the proposed method could effectively find the optimum parameters of the TMD. The efficacy of elastic and elastoplastic TMDs optimized using the proposed method in the responses of linear and nonlinear 10-story structures was also investigated. According to the results, the optimal elastic TMD more effectively reduced the maximum displacement of linear and nonlinear structures than the optimal elastoplastic TMD. Besides, elastic and elastoplastic TMDs exhibited higher efficiency in reducing the maximum displacement of the linear structure than the nonlinear structure.
URI: https://doi.org/10.1016/j.istruc.2022.07.037
https://hdl.handle.net/11147/12305
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
1-s2.0-S2352012422005987-main.pdfArticle (Makale)2.14 MBAdobe PDFView/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

6
checked on Mar 2, 2024

WEB OF SCIENCETM
Citations

5
checked on Jan 27, 2024

Page view(s)

1,518
checked on Feb 26, 2024

Download(s)

174
checked on Feb 26, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.