Incorporation of structural health monitoring data on load effects in the reliability and redundancy assessment of ship cross-sections using Bayesian updating. (July 2013)

• Record Type: Journal Article
• Authors: Zhu, Benjin; Frangopol, Dan M
• Is Part Of: Structural health monitoring. Volume 12:Number 4(2013)
• Page Start: 377
• Page End: 392
• Publication Date: 2013-07
• Subjects: Ship -- reliability -- redundancy -- structural health monitoring -- Bayesian updating -- polar representation; Structural health monitoring -- Periodicals; Structural stability -- Periodicals; Strength of materials -- Periodicals; Nondestructive testing -- Periodicals; Constructions -- Stabilité -- Périodiques; Résistance des matériaux -- Périodiques; Contrôle non destructif -- Périodiques; Electronic journals; 624.17
• DOI: 10.1177/1475921713495082
• Languages: English
• ISSNs: 1475-9217

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.