Study on Application of Chaos Genetic Algorithms in Wind-induced Vibration Control Optimization of High-rise Building
ZHANG Lei
ZHANG Yongshan
ZHUANG Chuli
WANG Dayang
CAI Changqing
Abstract：The paper intvoduces the Chaos Genetic Algorithms to wind-induced vibration control of high-rise building optimization, and optimizes the parameters of high-rise building of using viscoelastic dampers to control wind vibration responses. The paper compiles the programs of uniform method, iterative method, simple genetic algorithms, Chaos Genetic Algorithms by Matlab. Meanuhile the paper analyzes the wind vibration control optimization of 9 high-rise buildings, and compares the calculation efficiency of the algorithm programs and wind-induced re sponses of above conditions. The analysis results show that CGA theory can be applied to optimize the wind vibration of high-rise buildings; computational efficiency of CGA algorithm is improved by 29% than that of simple genetic algorithm; Optimized by CGA, the additional damping ratio which the viscoelastic damper added to structure compared with uniform and iteration respectively is improved by 61% and 22%. While the acceleration of top layer compared with uniform and iteration respectively is reduced by 61%and 22%. A new idea of wind vibration control for the high-rise building optimization research will be provide, which has certain theoretical value and practical significance.
Keywords：High-rise buildingWind-induced vibration controlChaos genetic algorithmsViscoelastie damperOptimization analysis
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 19-24 )