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Horizontally curved steel bridge seismic vulnerability assessment

Authors: Junwon Seo; Daniel G. Linzell;

Horizontally curved steel bridge seismic vulnerability assessment

Abstract

Abstract Most computational research related to steel bridge seismic vulnerability has focused on statistical extrapolation of analysis results for individual straight bridges. However, there has been a steady growth in the use of horizontally curved steel bridges in highways and interchanges in large urban regions. Given the large number of curved steel bridge structures in use in the US and abroad, with some of those structures being located in seismic zones, the feasibility of examining the effects of curvature on bridge vulnerability should be investigated. In this study, the seismic performance characteristics of an existing inventory of horizontally curved, steel, I-girder bridges located in Pennsylvania, New York, and Maryland were used to generate fragility curves. Representative fragility curves for horizontally curved, steel, I-girder bridges were estimated using Response Surface Metamodels (RSMs) in conjunction with Monte Carlo simulation. The methodology was used to construct fragility curves for select bridge components (bearings, columns and abutments). The curves were generated for four different, preexisting, performance states that represented slight, moderate, extensive, and complete damage under varying levels of earthquake intensity. The generated fragility curves provided information related to seismic response of the bridge inventory that was investigated, such as radial deformations at the bearings being the most susceptible component to seismic loads.

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
94
Top 1%
Top 10%
Top 10%
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