This paper presents a novel technique that integrates structural fragility analysis, network flow analysis, and random field theory to assess the correlation among bridge damage levels in a transportation network during extreme events and estimate the network performance sensitivity to correlation distance. A stochastic computational framework combines individual bridge damage levels with network performance evaluation. Random field theory simulates bridge damage levels, allowing direct control over correlation for parametric analysis. Numerical examples demonstrate that damage correlation significantly impacts network performance, highlighting the importance of considering this correlation in analyses.
Publisher
Probabilistic Engineering Mechanics
Published On
Dec 09, 2010
Authors
Paolo Bocchini, Dan M. Frangopol
Tags
bridge damage
transportation network
extreme events
random field theory
network performance
structural fragility
correlation analysis
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