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Assessment of Structure-Specific Intensity Measures for the Probabilistic Seismic Demand Analysis of Steel Moment Frames.

Authors :
Javanmard, Mohammad
Yahyaabadi, Aliakbar
Source :
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). May2019, Vol. 44 Issue 5, p4885-4894. 10p.
Publication Year :
2019

Abstract

Given the inherent uncertainty in seismic response, seismic performance assessment of structures should be conducted within a probabilistic framework. One of the most efficient probabilistic approaches is the IM-based probabilistic seismic demand analysis (PSDA). In this method, an intermediate parameter, which is known as the intensity measure (IM), is used to decouple the seismological and structural uncertainties. Two intensity measures of IM oc and (S a) rms were introduced for near-fault pulse-like records in previous research. These IMs are defined based on the optimal combination of spectral displacements and root-mean-square of spectral accelerations at effective periods, respectively. In this research, to consider the efficiency of these IMs under a set of 90 records that contains both near-fault and ordinary ground motion records, we conducted the PSDA for five moment-resisting frames with the number of stories ranges from 3 to 15. Results show that IM oc and the advanced intensity measure of IM 1 I & 2 E exhibit the highest correlation with the expected damage for the most frames, especially moderate and relatively long-period ones. IM 1 I & 2 E is defined based on the inelastic spectral displacement with the higher-mode modification. In addition, comparison of the drift hazard curve of different frames shows that by increasing the structural height, the amount of drift hazard will decrease. However, comparing to other cases, the reduction rate of drift hazard along with increasing the number of stories from three to six is significant. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2193567X
Volume :
44
Issue :
5
Database :
Academic Search Index
Journal :
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. )
Publication Type :
Academic Journal
Accession number :
135860981
Full Text :
https://doi.org/10.1007/s13369-018-3584-5