2014
DOI: 10.1080/0305215x.2014.887704
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Investigating the optimal passive and active vibration controls of adjacent buildings based on performance indices using genetic algorithms

Abstract: This study proposes the optimal passive and active damper parameters for achieving the best results in seismic response mitigation of coupled buildings connected to each other by dampers. The optimisation to minimise the H2 and H-norms in the performance indices is carried out by genetic algorithms (GAs). The final passive and active damper parameters are checked for adjacent buildings connected to each other under El Centro NS 1940 and Kobe NS 1995 excitations. Using real coded GA in H-norm, the optimal contr… Show more

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Cited by 23 publications
(8 citation statements)
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“…For the damper placement optimisation problem, various objective functions have been used in the literature [15].…”
Section: Solution Space Examplesmentioning
confidence: 99%
“…For the damper placement optimisation problem, various objective functions have been used in the literature [15].…”
Section: Solution Space Examplesmentioning
confidence: 99%
“…inter-storey drift of the ith floor of the coupled structural system and ndi is the total number of installed dampers. Combining multiple objective functions into a single-objective function by use of arbitrary importance weights are often done in a conventional optimization approach [45]. However, prior knowledge of the relative importance of multiple objective functions is not practically feasible for an optimization problem.…”
Section: Optimum Design Of Damper Systemmentioning
confidence: 99%
“…Therefore, this study implements a multi objective optimization approach to obtain a method of optimal designs known as Pareto-optimal solutions and adopts a procedure to choose a reasonable design. Details of an optimization problem for minimizing two objective functions are given in the study of Ok et al [45,46]. Any of the objective functions can be considered as an acceptable solution as long as none of the solutions on the optimal surface is absolutely better than any other.…”
Section: Optimum Design Of Damper Systemmentioning
confidence: 99%
“…The most popular and used evolutionary computation (EC) techniques, known as Evolution Strategies [1][2][3], Genetic Algorithms [4,5], Genetic Programming [6], and Evolutionary Programming [7], are nature-inspired algorithms which mimic natural evolutionary principles such as The Survival of Species [8]. In the field of structural engineering, several authors have contributed in some applications, such as damage detection in structures [9,10], truss optimization [11], identification of dynamical properties [12], structural design [13], vibration controls [14], shape optimization [15], among others.…”
Section: Introductionmentioning
confidence: 99%