基于改进遗传算法的高层结构粘滞阻尼器优化布置

Optimal Arrangement of Viscous Dampers in Tall Structures Based on Improved Genetic Algorithm

摘要: 粘滞阻尼器在高层结构减震中应用广泛，为了提升粘滞阻尼器的减震效果，本文对粘滞阻尼器位置布置进行优化。在传统的遗传算法基础上采用了精英保留策略，以及进化逆转操作，提出了一种新的遗传终止规则对算法进行改进，并用改进的遗传算法对结构阻尼器位置进行优化。通过穷举法和传统遗传算法与本文改进遗传算法的对比，发现了改进遗传算法加强了算法的寻优能力，提升了算法的效率。使用时程分析法对粘滞阻尼器优化布置结果与无控结构和阻尼器隔层布置进行对比分析，发现了阻尼器优化布置具有更好的减震效果。

Abstract: Sticky dampers are widely used in high-rise structural seismic mitigation, and in order to enhance their damping effectiveness, this paper optimizes the layout of sticky dampers. Based on the traditional genetic algorithm, this paper introduces elite reservation strategy and evolution reversal operation to propose a new genetic termination rule for algorithm improvement. The improved genetic algorithm is then applied to optimize the positions of structural dampers. By comparing the exhaustive method, traditional genetic algorithm, and the improved genetic algorithm, it is found that the improved algorithm enhances the optimization capability and improves the efficiency of the algorithm. Utilizing the time-history analysis method, a comparative analysis is conducted between the optimized layout of sticky dampers and uncontrolled structures and damper interlayer layouts, revealing that the optimized damper arrangement exhibits better seismic mitigation effects.