Efficient seismic risk assessment of irregular steel‐framed buildings through endurance time analysis of consistent fish‐bone model

Abstract

The seismic risk framework of building structures has been presented to reduce earthquake-induced adverse consequences. In this context, probabilistic analysis of engineering demand parameters (EDPs) is always associated with many uncertainties and high computational demand for use in practical applications. This study has been presented to efficiently estimate the distribution of EDPs in probabilistic seismic risk assessment of irregular steel moment-resisting frames (SMRFs). For this purpose, the incorporation of the consistent fish-bone (CFB) model and the endurance time (ET) analysis method has been used. The proposed method (i.e., CFB-ET) has a substantial impact on reducing the complexities of the new generation of performance-based earthquake engineering (PBEE) by significantly reducing the degrees of freedom (DOFs) of the original building and the number of required nonlinear time history analyses (NLTHAs). The efficiency of the proposed method has been evaluated using three 3-, 9-, and 20-story SMRFs irregular in bay lengths and three other SMRFs with the same number of stories but irregular in height. In this evaluation, the maximum structural response at all seismic intensity levels up to the collapse stage and also the structural response profile along the building height at service-level earthquake (SLE), designbased earthquake (DBE), and maximum credible earthquake (MCE) seismic intensity levels have been investigated. Next, the efficiency of the proposed method in seismic risk assessment is investigated by using seismic fragility and vulnerability curves. The results of these evaluations have been compared with the full incremental dynamic analysis (IDA) of the full DOF model of the building (i.e., SMRF-IDA) under 44 far-field ground motions of FEMA P-695 in terms of computational accuracy and effort. Furthermore, a new approach to estimating the dispersion of the structural response in the ET method has been proposed, whose efficiency has been investigated in the abovementioned evaluations. The results show that the proposed method allows for using the new generation of PBEE in engineering applications by significantly reducing computational demand and having sufficient accuracy in the seismic assessment process.

Life cycle cost‐based optimization framework for seismic design and target safety quantification of dual steel buildings with buckling‐restrained braces

“…In these studies, the ET method has only been used to estimate the median of EDPs at different seismic hazard levels, and predetermined constant values have been assigned to the dispersion of EDPs. However, recent studies [92][93][94] have demonstrated the capability of the ET method to estimate the probability distribution (median and dispersion) of EDPs, which is the basis of structural seismic analysis in the present study.…”

“…More details on the generation procedure of these excitation functions can be found in. 106 Moreover, recent studies [92][93][94] have demonstrated the capability of the ET method to efficiently estimate the dispersion of EDPs due to record-to-record variability under a set of GMs. In these studies, the record-to-record variability of the required EDP is directly estimated by finding the EDPs corresponding to the 16 th and/or 84 th percentiles from the median of the ET response without performing additional analyses.…”

Effect of U-Shaped Metallic Dampers on the Seismic Performance of Steel Structures based on Endurance-Time Analysis

“…In this study, publicly available artificial ETA functions were selected from the referenced website and used for the analysis [28,29]. Figures 5 and 6 show the acceleration time history and spectral acceleration of ETA20inx0, respectively.…”

Machine vision‐based automated earthquake‐induced drift ratio quantification for reinforced concrete columns

“…Robust estimation of the earthquake‐induced losses in the structure‐ and community‐level is the major component of the seismic risk assessment and crucial for decision makers 1–12 . The performance‐based probabilistic seismic loss estimation frameworks available in the literature 13–16 commonly include distinctive components associated with seismic hazard analysis, structural response, damage to the structural and nonstructural components, and resulting losses.…”