In this paper, a multi-objective optimization of a single tuned mass damper is proposed at the aim to control vibrations induced in building structures under low-moderate earthquakes. The optimum design is carried out by considering both economic and performance criteria. The cost of the device is the economic objective that is assumed directly related to its mechanical parameters. At the aim to control the damage level and the behaviour of components and equipment, the ratio between the absolute accelerations of the protected structure and the unprotected one is assumed as the device performance. A multi-objective optimization is then formulated, and Pareto optimum solutions are achieved by the Non-dominated Sorting Genetic Algorithm in its second version. Finally, a sensitivity analysis of the optimum solution with respect to some input data is carried out. Copyright © 2016 John Wiley & Sons, Ltd.
Performance–cost optimization of tuned mass damper under low‐moderate seismic actions / Greco, R.; Marano, Gc.; Fiore, A.. - In: THE STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS. - ISSN 1541-7794. - ELETTRONICO. - 25:18(2016), pp. 1103-1122. [10.1002/tal.1300]
Performance–cost optimization of tuned mass damper under low‐moderate seismic actions
Greco, R.;Marano, GC.;Fiore, A.
2016-01-01
Abstract
In this paper, a multi-objective optimization of a single tuned mass damper is proposed at the aim to control vibrations induced in building structures under low-moderate earthquakes. The optimum design is carried out by considering both economic and performance criteria. The cost of the device is the economic objective that is assumed directly related to its mechanical parameters. At the aim to control the damage level and the behaviour of components and equipment, the ratio between the absolute accelerations of the protected structure and the unprotected one is assumed as the device performance. A multi-objective optimization is then formulated, and Pareto optimum solutions are achieved by the Non-dominated Sorting Genetic Algorithm in its second version. Finally, a sensitivity analysis of the optimum solution with respect to some input data is carried out. Copyright © 2016 John Wiley & Sons, Ltd.File | Dimensione | Formato | |
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