In this paper, the optimal design of a novel passive control device, defined as Tuned Liquid Column Damper Inerter (TLCDI), is investigated to control wind-induced vibrations of structural systems. Due to inherent nonlinearities, a complex numerical solution scheme is commonly required to optimally design the device. Therefore, to provide a straightforward optimization procedure, a statistical linearization approach is employed to minimize the stochastic response of a single degree of freedom system. Under the assumption of a Gaussian white noise excitation of wind loading type, and considering some additional hypotheses, a closed form solution of the optimal parameters of TLCDI is achieved. The validity of the proposed expressions is assessed by comparing results with those obtained from a more computationally demanding iterative method.
Masnata C., Di Matteo A., Adam C., Pirrotta A. (2024). Tuned Liquid Column Damper Inerter (TLCDI) for Wind-Induced Vibration Control of Fixed-Base Structures. In Perspectives in Dynamical Systems I — Applications (pp. 351-368). GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND : Springer [10.1007/978-3-031-56492-5_26].
Tuned Liquid Column Damper Inerter (TLCDI) for Wind-Induced Vibration Control of Fixed-Base Structures
Masnata C.;Di Matteo A.
;Pirrotta A.
2024-01-01
Abstract
In this paper, the optimal design of a novel passive control device, defined as Tuned Liquid Column Damper Inerter (TLCDI), is investigated to control wind-induced vibrations of structural systems. Due to inherent nonlinearities, a complex numerical solution scheme is commonly required to optimally design the device. Therefore, to provide a straightforward optimization procedure, a statistical linearization approach is employed to minimize the stochastic response of a single degree of freedom system. Under the assumption of a Gaussian white noise excitation of wind loading type, and considering some additional hypotheses, a closed form solution of the optimal parameters of TLCDI is achieved. The validity of the proposed expressions is assessed by comparing results with those obtained from a more computationally demanding iterative method.File | Dimensione | Formato | |
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