In this study, the optimal seismic design of traditional and buckling-restrained braces (BRBs) 3D-reinforced concrete (R/C) buildings is compared. The optimal buildings are obtained through the non-dominated sorting genetic algorithm (NSGA-II) multi-objective technique. Unlike most of this type of studies, the complete design of the 3D frames will be obtained considering the slabs, beams, columns, and braces as variables of the algorithm that are used to calculate dead and seismic loads. For this aim, two objective functions are established: (1) the first objective function is the cost of the structural building that includes materials and construction; (2) the second is the ratio between the maximum inter-story drift and the allowable drift, which is the most common structural performance parameter used by the earthquake building codes. For the purpose of this study, several R/C buildings are designed in accordance with the Mexico City Building Code (MCBC) using NSGA-II. The results demonstrate that as the height of the R/C buildings tend to increase, the frames with BRBs are more economical having similar level of structural performance in comparison with traditional moment resisting R/C framed buildings. In addition, the application of the evolutionary technique based on genetic algorithms for structural design improves considerably the structural performance and is able to reduce the total structural cost of the buildings.

在这项研究中，比较了传统和屈曲约束支撑 (BRB) 3D 钢筋混凝土 (R/C) 建筑物的最佳抗震设计。最优建筑物是通过非支配排序遗传算法（NSGA-II）多目标技术获得的。与大多数此类研究不同，将板、梁、柱和支撑作为用于计算静载荷和地震载荷的算法变量来获得 3D 框架的完整设计。为此，建立了两个目标函数：（1）第一个目标函数是结构建筑的成本，包括材料和施工；(2) 第二个是最大层间位移与允许位移的比值，这是地震建筑规范中最常用的结构性能参数。出于本研究的目的，使用 NSGA-II 根据墨西哥城建筑规范 (MCBC) 设计了几座 R/C 建筑。结果表明，随着 R/C 建筑物的高度趋于增加，与传统的抗弯 R/C 框架建筑物相比，具有相似结构性能水平的 BRB 框架更经济。此外，基于遗传算法的进化技术在结构设计中的应用大大提高了结构性能，能够降低建筑物的总结构成本。与传统的抗弯 R/C 框架建筑相比，带有 BRB 的框架更经济，具有相似的结构性能水平。此外，基于遗传算法的进化技术在结构设计中的应用大大提高了结构性能，能够降低建筑物的总结构成本。与传统的抗弯 R/C 框架建筑相比，带有 BRB 的框架更经济，具有相似的结构性能水平。此外，基于遗传算法的进化技术在结构设计中的应用大大提高了结构性能，能够降低建筑物的总结构成本。