2017
DOI: 10.1002/stc.2086
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Optimal design of double-skin façades as vibration absorbers

Abstract: Summary In this paper, several layouts of double‐skin façades (DSFs) used as mass dampers to reduce the vibrations in structures under seismic events are analyzed. First, the mathematical coupled problem is studied considering a non‐classically damped system excited by a set of accelerograms. The design problem aims to determine the optimal values of four parameters, namely, the flexural stiffness and damping of the DSF panel and the stiffnesses of the elements that connect the DSF to the primary structure. Se… Show more

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Cited by 23 publications
(26 citation statements)
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“…Examples can be found in Refs. [33,34,35] where double skin facade systems are utilized as multiple tuned mass damper systems.…”
Section: Goodno Andmentioning
confidence: 99%
“…Examples can be found in Refs. [33,34,35] where double skin facade systems are utilized as multiple tuned mass damper systems.…”
Section: Goodno Andmentioning
confidence: 99%
“…Moon [22,23] studied the structural capacities of the double-skin facade (DSF) systems in tall buildings with fixed base subjected to dynamic wind loads. Furthermore, Pipitone et al [24] employed several layouts of double-skin facade (DSF) with mass dampers to reduce the seismic vibration in structures subjected to variety of earthquake excitations.…”
Section: Introductionmentioning
confidence: 99%
“…As in the case of the existing building, all the modes of vibration have been used ( m j =3 n S ) to build the matrices of inherent damping c ( j ) (with j =1,2,3), assuming the same modal viscous damping ratio ζ ( j ) =0.05. It is worth noting here that the coefficients M (0) / M ( j ) =15, J (0) / J ( j ) =800 and K (3) / K (1) =1.5 have been assumed based on preliminary design considerations on the individual reaction towers and the feasibility of the intervention; these values could be potentially subjected to further optimization through appropriate heuristic search methods (eg, genetic algorithms and particle swarm optimization, as in Palmeri et al and Pipitone et al), but this beyond the scope of the present study.…”
Section: Case Studymentioning
confidence: 99%