Optimum design of tuned mass dampers for different earthquake ground motion parameters and models

Greco, Rita and Morga, Mariantonietta (2019) Optimum design of tuned mass dampers for different earthquake ground motion parameters and models. Structural Design of Tall and Special Buildings, 28 (17). e1672. ISSN 1541-7808

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Official URL: http://dx.doi.org/10.1002/tal.1672


Tuned mass dampers are frequently used for passive control of vibrations in civil structures subject to seismic and wind actions. Their efficiency depends on selection of their mechanical properties in relation to main system and excitation characteristics. This paper proposes an optimum design strategy of single tuned mass dampers to control vibrations of principal mode of structures excited by earthquake ground motion. The main purpose of the paper is to investigate the influence of the time modulation of earthquake excitation upon the optimal tuned mass dampers design parameters: frequency and damping ratio. The study is based on numerical analyses carried out with different stochastic models for earthquakes: a simple filtered white noise model and two time modulated filtered white noise models. The numerical analyses are carried out to solve an optimization problem with a performance index defined by the reduction of the standard deviation of either the structure displacement or its inertial acceleration as objective function. To complete the work, the influence of the bandwidth excitation over the values of the optimal tuned mass damper parameters is investigated, as well the optimum mass ratio and the structure frequency. The results of the numeral analyses carried out infer that the earthquake excitation characteristics, including its modulation in time domain, highly affect the optimum tuned mass damper design parameters values.

Item Type: Journal Article
Keywords: covariance analysis, nonstationary earthquake ground motion model, optimum design, passive protection, supplemental damping, tuned mass damper
Faculty: Faculty of Science & Engineering
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 23 Sep 2019 09:13
Last Modified: 09 Sep 2021 18:54
URI: https://arro.anglia.ac.uk/id/eprint/704781

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