@article{ref1,
title="Incorporation of structural health monitoring data on load effects in the reliability and redundancy assessment of ship cross-sections using Bayesian updating",
journal="Structural health monitoring",
year="2013",
author="Zhu, Benjin and Frangopol, Dan M.",
volume="12",
number="4",
pages="377-392",
abstract="This article presents an approach for improving the accuracy in the reliability and redundancy assessment of ship cross-sections by using the Bayesian updating method. The vertical bending moments associated with ultimate failure and first failure for a given ship cross-section are evaluated using an optimization-based method and the progressive collapse method, respectively. The prior information on the wave-induced load effects is calculated based on the linear theory. Having extracted the hogging and sagging peaks from the low-frequency structural health monitoring signals, the Bayesian method is used to update the Rayleigh-distributed prior load effects. The original and updated reliability and redundancy indexes of the ship cross-sections are evaluated, and the results are displayed in polar plots.<p /><p>Language: en</p>",
language="en",
issn="1475-9217",
doi="10.1177/1475921713495082",
url="http://dx.doi.org/10.1177/1475921713495082"
}