混沌遗传算法在高层结构风振控制优化中的应用研究

将混沌遗传算法(Chaos Genetic Algorithm,简称CGA)引入高层结构的风振控制优化中,对采用黏弹性阻尼器来控制风振响应的高层结构进行参数优化;用Matlab语言编制了均布法、迭代法、简单遗传算法(Simple Genetic Algorithm,简称SGA)和混沌遗传算法的风振控制优化分析程序;对9个高层结构进行风振控制优化,对比了算法程序的计算效率以及无控、均布、迭代、SGA和CGA工况下的结构风振响应。研究结果表明:混沌遗传算法可以应用于高层结构风振控制优化之中;混沌遗传算法的计算效率比简单遗传算法最高提升了29%;经混沌遗传算法优化后,黏弹性阻尼器附加给结构的附加阻尼比与均布和迭代相比最高分别提高了61%和22%,CGA工况的顶层加速度响应与均布和迭代法相比最高分别减小了14%和12%。为高层结构风振控制优化研究提供了新思路,具有一定的理论价值和实际意义。

Study on Application of Chaos Genetic Algorithms in Wind-induced Vibration Control Optimization of High-rise Building

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 by29% 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% and22%. 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.