Abstract
This paper examines the optimized parameters for tuned mass dampers (TMDs) to reduce seismic vibrations of tall buildings; with soil–structure interaction effects (SSI). To illustrate the results, earthquake data are applied to the model and the jellyfish search optimization (JSO) method is used to obtain the best parameters for TMD. TMD mass, damping coefficient and spring stiffness are assumed as design variables and the goal is to reduce both the maximum deflection and the acceleration of the aircraft. It shows how the JSO can be effectively applied to design the optimal TMD device. It is also noted that the type of soil significantly affects the optimized parameters of the TMD and the temporal response of structures. This study helps researchers better understand seismic vibrations and guides designers to achieve the optimized TMD for skyscrapers. The proposed method is the implementation of the MATLAB platform. Here the proposed technique is compared to other existing techniques such as the shuffled Shepherd optimization algorithm (SSO) and the genetic algorithm (GA).
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1 Mr.Kumar Vanshaj Write the complete paper perform MATLAB analysis 2.Dr A K Shukla Guide in complete research work 3.Dr Mukesh Shukla Guide and suggest different methodologies which can be adopted in completing this research 4.Mr Abhishek Mishra collect all reserch data and softwares required in completing this research.
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Vanshaj, K., Shukla, A.K., Shukla, M. et al. Jellyfish search optimization for tuned mass dumpers for earthquake oscillation of elevated structures including soil–structure interaction. Asian J Civ Eng 24, 779–792 (2023). https://doi.org/10.1007/s42107-022-00530-z
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DOI: https://doi.org/10.1007/s42107-022-00530-z