隔震结构支座布置的两阶段优化方法

针对隔震结构隔震支座布置最优问题,提出一种两阶段的隔震支座布置优化方法:先采用多种群遗传算法进行隔震层参数优化,再采用线性规划法完成隔震支座布置优化.整个过程需要优化算法和动力分析相结合,采用SAP2000 API函数库与MATLAB,实现隔震结构动力时程分析与优化程序的相互调用.用一个实际隔震工程分析表明:与原设计方案相比,采用本方法确定的隔震支座布置方案,水平向减震系数可减小约12%,各支座最大位移减小约21%,隔震层造价增加约14%,说明该方法优化结果可靠,可有效提高隔震工程的设计质量和设计效率.

Two-stage optimization method for bearing layout of isolated structures

A two-stage optimization method is proposed to determine the optimum layout of isolation bearings. In the first stage, genetic optimization is performed to identify the parameters of the isolated layer. In the second stage, a linear programming method is adopted to optimize the layout of isolators. This study constructs a hybrid framework in which the nonlinear time history analyses are conducted using the software SAP2000 and the optimization is accomplished by MATLAB. The former provides the responses of isolated buildings, and the latter calculates the associated objective function and identifies the optimal design. The proposed method is demonstrated in a typical isolated building in China. Compared with the original design scheme, the horizontal damping coefficient of the isolation bearing arrangement scheme determined by this method can be reduced by about 12%, the maximum displacement of bearing can be reduced by about 21%, and the cost of the isolation layer can be increased by about 14%. It shows that the optimization result of this method is reliable and can effectively improve the design quality and efficiency of isolation engineering.