This paper aims to carry out sensitivity analyses to study how the effect of each design variable on the performance of self-centering buckling restrained brace (SC-BRB) and the corresponding buckling restrained brace (BRB) without shape memory alloy (SMA) rods. Furthermore, the reliability analyses of BRB and SC-BRB are performed in this study. Considering the high computational cost of the simulation methods, three Meta-models including the Kriging, radial basis function (RBF), and polynomial response surface (PRSM) are utilized to construct the surrogate models. For this aim, the nonlinear dynamic analyses are conducted on both BRB and SC-BRB by using OpenSees software. The results showed that the SMA area, SMA length ratio, and BRB core area have the most effect on the failure probability of SC-BRB. It is concluded that Kriging-based Monte Carlo Simulation (MCS) gives the best performance to estimate the limit state function (LSF) of BRB and SC-BRB in the reliability analysis procedures. Considering the effects of changing the maximum cyclic loading on the failure probability computation and comparison of the failure probability for different LSFs, it is also found that the reliability indices of SC-BRB were always higher than the corresponding reliability indices determined for BRB which confirms the performance superiority of SC-BRB than BRB.

本文旨在进行敏感性分析，以研究每个设计变量对自定心屈曲约束支撑（SC-BRB）和相应的无形状记忆合金（SMA）杆的屈曲约束支撑（BRB）性能的影响。此外，本研究还进行了 BRB 和 SC-BRB 的可靠性分析。考虑到模拟方法的高计算成本，利用克里金法、径向基函数（RBF）和多项式响应面（PRSM）三个元模型来构建代理模型。为此，使用 OpenSees 软件对 BRB 和 SC-BRB 进行非线性动力学分析。结果表明，SMA面积、SMA长度比和BRB纤芯面积对SC-BRB失效概率的影响最大。得出的结论是，在可靠性分析过程中，基于克里金法的蒙特卡罗模拟 (MCS) 为估计 BRB 和 SC-BRB 的极限状态函数 (LSF) 提供了最佳性能。考虑到改变最大循环载荷对失效概率计算和不同 LSF 失效概率比较的影响，还发现 SC-BRB 的可靠性指标始终高于为 BRB 确定的相应可靠性指标，这证实了SC-BRB 的性能优于 BRB。