Reliability and reliability-based sensitivity analysis of self-centering buckling restrained braces using meta-models

Abstract

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.

Structural optimization of vertical isolated rocking core-moment frames

“…Accordingly, the proper design parameters need to be adjusted for minimizing the MF displacement. Although a few research have been conducted for reliability and optimization analyses of self-centering systems (Hashemi et al, 2021; Hormozabad and Soto, 2021; Rahgozar et al, 2021a, 2021b), there is a lack of practical design and optimization research for VI-RCMFs. It is worth noting that the design parameters of VI-RCMFs cannot readily be optimized by analytical formula due to their complex and nonlinear responses.…”

Semi-active control of nonlinear smart base-isolated structures using MR damper: sensitivity and reliability analyses

“…The reliability analysis makes the possibility of estimating the failure probability of the structures with pertinent uncertainties. Some studies in the literature have been conducted on bucklingresistant bracing [1], tuned mass damper [2,3], tuned liquid column dampers [4] viscoelastic dampers [5,6], U-shaped steel dampers [7], magneto-rheological (MR) dampers [8,9], self-centering buckling restrained braces [10].…”