Assessment of buckling-restrained
braced frame reliability using an experimental limit-state model and
stochastic dynamic analysis
Blake M. Andrews1, Junho Song2 and Larry A. Fahnestock2
1. Wiss, Janney, Elstner Associates, Inc., Northbrook, Illinois, USA
2. Department of Civil and Environmental Engineering, University of
Illinois at Urbana-Champaign, Urbana, Illinois, USA
Abstract: Buckling-restrained braces
(BRBs) have recently become popular in the United States for use as
primary
members of seismic lateral-force-resisting systems. A BRB is a steel
brace that does not buckle in compression but instead
yields in both tension and compression. Although design guidelines for
BRB applications have been developed, systematic
procedures for assessing performance and quantifying reliability are
still needed. This paper presents an analytical framework
for assessing buckling-restrained braced frame (BRBF) reliability when
subjected to seismic loads. This framework
effi ciently quantifies the risk of BRB failure due to low-cycle fatigue
fracture of the BRB core. The procedure includes a
series of components that: (1) quantify BRB demand in terms of BRB core
deformation histories generated through stochastic
dynamic analyses; (2) quantify the limit-state of a BRB in terms of its
remaining cumulative plastic ductility capacity based
on an experimental database; and (3) evaluate the probability of BRB
failure, given the quantified demand and capacity,
through structural reliability analyses. Parametric studies were
conducted to investigate the effects of the seismic load,
and characteristics of the BRB and BRBF on the probability of brace
failure. In addition, fragility curves (i.e., conditional
probabilities of brace failure given ground shaking intensity
parameters) were created by the proposed framework. While the
framework presented in this paper is applied to the assessment of BRBFs,
the modular nature of the framework components
allows for application to other structural components and systems.
Keywords: risk and reliability analysis; buckling-restrained
brace; stochastic dynamic analysis; fi rst-order reliability
method; cumulative plastic ductility capacity
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