Civil Engineering and Architecture Vol. 11(3), pp. 1523 - 1537
DOI: 10.13189/cea.2023.110333
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Tuned Mass Damper Parameters Design by Means of Meta-Heuristic Optimization Algorithms

Abdelmajeed Alkasassbeh ^*, Bilal Yasin , Hatem Almasaeid
Department of Civil Engineering, Faculty of Engineering, Al al-Bayt University, 25113 Mafraq, Jordan

ABSTRACT

Tuned mass dampers (TMDs) as vibration-mitigating devices are widely used in structures to reduce their displacement response under dynamic forces. Through a novel dolphin echolocation (DE) algorithm, this paper provides optimum tuning of TMD parameters. Developing some features of this algorithm results in a faster convergence to the optimum solution. Besides, grey wolf and whale optimization algorithms (GWO and WOA), as two other nature-based meta-heuristic algorithms, are employed in this problem. The modified DE illustrates a more optimum design of TMD's parameters rather than GWO and WOA. The code has been verified by a sample structure from the literature and then applied to a high-rise forty-story structure under strong ground motions. The numerical results reveal that the optimum TMD is viable in attenuating the structural responses, including relative displacements and absolute accelerations under different earthquake excitations. For instance, in the high-rise structure, the modified DE, GWO, and WOA reduce the maximum displacements up to 45%, 43%, and 38%, respectively. Moreover, the algorithms, specifically the modified DE, propose more cost-effective designs in comparison with previous studies in the literature by introducing smaller TMD parameters.

KEYWORDS
Seismic Response, Tuned Mass Damper, Multi-Degree of Freedom Structures, Optimization, Meta-Heuristic Algorithms

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Abdelmajeed Alkasassbeh , Bilal Yasin , Hatem Almasaeid , "Tuned Mass Damper Parameters Design by Means of Meta-Heuristic Optimization Algorithms," Civil Engineering and Architecture, Vol. 11, No. 3, pp. 1523 - 1537, 2023. DOI: 10.13189/cea.2023.110333.

(b). APA Format:
Abdelmajeed Alkasassbeh , Bilal Yasin , Hatem Almasaeid (2023). Tuned Mass Damper Parameters Design by Means of Meta-Heuristic Optimization Algorithms. Civil Engineering and Architecture, 11(3), 1523 - 1537. DOI: 10.13189/cea.2023.110333.