TY  - JOUR
PY  - 2013//
TI  - Incorporation of structural health monitoring data on load effects in the reliability and redundancy assessment of ship cross-sections using Bayesian updating
JO  - Structural health monitoring
A1  - Zhu, Benjin
A1  - Frangopol, Dan M.
SP  - 377
EP  - 392
VL  - 12
IS  - 4
N2  - 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>
LA  - en
SN  - 1475-9217
UR  - http://dx.doi.org/10.1177/1475921713495082
ID  - ref1
ER  -