2001
DOI: 10.1006/jsvi.2001.3679
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Random Seismic Response Analysis of Adjacent Buildings Coupled With Non-Linear Hysteretic Dampers

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Cited by 103 publications
(50 citation statements)
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“…A variety of damping devices, such as viscous dampers [1][2][3][4], friction dampers [5][6][7], hysteretic dampers [8][9][10][11] and viscoelastic dampers [12][13][14][15][16][17], interconnecting adjacent buildings have been widely studied to prevent the pounding for engineering applications. Among these types of damping devices, the viscoelastic dampers can be used to dissipate energy at all deformation levels.…”
Section: Introductionmentioning
confidence: 99%
“…A variety of damping devices, such as viscous dampers [1][2][3][4], friction dampers [5][6][7], hysteretic dampers [8][9][10][11] and viscoelastic dampers [12][13][14][15][16][17], interconnecting adjacent buildings have been widely studied to prevent the pounding for engineering applications. Among these types of damping devices, the viscoelastic dampers can be used to dissipate energy at all deformation levels.…”
Section: Introductionmentioning
confidence: 99%
“…Some theoretical studies exist in which structural control is effectively applied to adjacent structures by means of passive viscoelastic [2,3] or hysteretic [4][5][6][7] devices, or using semiactive or active devices [8][9][10]. Concerning the use of semiactive devices, [8,10] deals with aspects related to the design of an appropriate control law comparing through numerical models different control strategies, while in [9] the effectiveness of MR damper is examined for seismic response mitigation under coupled building control scheme, involving passive and semiactive control strategies.…”
Section: Introductionmentioning
confidence: 99%
“…In semi-active control methods, Dyke et al (1996), Ni, Ko, and Ying (2001) and Yoshida and Dyke (2004) investigated the effectiveness of magnetorheological (MR) dampers for civil engineering structures. Ok, Song, and Park (2009) developed an optimal design of semi-active dampers using multi-objective optimization.…”
Section: Introductionmentioning
confidence: 99%