Assessment of the effectiveness of Multiple-Stripe Analysis by using a stochastic earthquake input model

Abstract

Current practical approaches for probabilistic seismic performance assessment of structures rely on the concept of intensity measure (IM), which is used to decompose the problem into hazard analysis and conditional seismic demand analysis. These approaches are potentially more efficient than traditional Monte-Carlo based ones, but the performance estimates can be negatively influenced by inadequate setup choices. These include, among the others, the number of seismic intensity levels to consider, the number of structural analyses to be performed at each intensity level, and the lognormality assumption for the conditional demand. This paper investigates the accuracy and effectiveness of a widespread IM-based method for seismic performance assessment, multi-stripe analysis (MSA), through an extensive parametric study carried out on a three-story steel moment-resisting frame, by considering different setup choices and various engineering demand parameters. A stochastic ground motion model is employed to describe the seismic hazard and the spectral acceleration is used as intensity measure. The results of the convolution between the seismic hazard and the conditional probability of exceedance obtained via MSA are compared with the estimates obtained via Subset Simulation, providing a reference solution. The comparison gives useful insights on the influence of the main parameters controlling the accuracy and precision of the IM-based method. It is shown that with the proper settings, MSA can provide risk estimates as accurate as those obtained via Subset Simulation, at a fraction of the computational cost.

Characterization of local and global capacity criteria for collapse assessment of code-conforming RC buildings

“…PO curves were produced in terms of V h versus RDR. Bidirectional nonlinear MSA Scozzese et al 2020) was performed by considering the conditional spectrum (CS) approach for the definition of the loading histories (Jayaram et al 2011;Lin et al 2013). In particular, the analysis records were derived by Iervolino et al (2017Iervolino et al ( , 2018.…”

Seismic performance of dual systems coupling moment‐resisting and buckling‐restrained braced frames

“…A set of 240 ground motions is used to achieve confident estimates of the median response and dispersion accounting for the record‐to‐record variability 47 . This set was selected by Baker et al 48 for the analysis of a variety of structural systems located in active seismic regions.…”

“…A set of 240 ground motions is used to achieve confident estimates of the median response and dispersion accounting for the record-to-record variability. 47 This set was selected by Baker et al 48 are not included in the set. The large number of records considered allows the estimation, with good confidence, of the statistics of the response parameters, even of those commonly characterized by a significant dispersion such as the residual displacement.…”

A Resilience and Robustness Oriented Design of Base-Isolated Structures: The New Camerino University Research Center

“…It should be noted that the procedure followed to build the hazard curves accounts for the variability of the seismic input, i.e., the record-to-record variability (Scozzese et al, 2020). In this study this variability is due to the selection of the natural records according to the conditional spectrum of the site; alternatively it could be simulated by using a stochastic model of the input, as already done for different structural systems (Chen et al, 2007;Peng et al, 2013;Altieri et al, 2018).…”