Probabilistic performance-based evaluation of a tall steel moment resisting frame under post-earthquake fres

Negar Elhami Khorasani, Maria Eugenia Moreyra Garlock, Paolo Gardoni

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

Purpose-This paper aims to develop a framework to assess the reliability of structures subject to a fre following an earthquake (FFE) event. The proposed framework is implemented in one seamless programming environment and is used to analyze an example nine-story steel moment-resisting frame (MRF) under an FFE. The framework includes uncertainties in load and material properties at elevated temperatures and evaluates the MRF performance based on various limit states. Design/methodology/approach-Specifcally, this work models the uncertainties in fre load density, yield strength and modulus of elasticity of steel. The location of fre compartment is also varied to investigate the effect of story level (lower vs higher) and bay location (interior vs exterior) of the fre on the post-earthquake performance of the frame. The frame is modeled in OpenSees to perform non-linear dynamic, thermal and reliability analyses of the structure. Findings-Results show that interior bays are more susceptible than exterior bays to connection failure because of the development of larger tension forces during the cooling phase of the fre. Also, upper?oors in general are more probable to reach specifed damage states than lower?oors because of the smaller beam sizes. Overall, results suggest that modern MRFs with a design that is governed by inter-story drifts have enough residual strength after an earthquake so that a subsequent fre typically does not lead to results signifcantly different compared to those of an event where the fre occurs without previous seismic damage. However, the seismic damage could lead to larger fre spread, increased danger to the building as a whole and larger associated economic losses. Originality/value-Although the paper focuses on FFE, the proposed framework is general and can be extended to other multi-hazard scenarios.

Original languageEnglish (US)
Pages (from-to)193-216
Number of pages24
JournalJournal of Structural Fire Engineering
Volume7
Issue number3
DOIs
StatePublished - Jan 1 2016

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Mechanics of Materials
  • Mechanical Engineering

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