An intelligent system for vessels structural reliability evaluation
Michala, A. L. and Barltrop, N. and Amirafshari, P. and Lazakis, I. and Theotokatos, G.; (2016) An intelligent system for vessels structural reliability evaluation. In: International Conference on Maritime Safety and Operations. University of Strathclyde, GBR, pp. 171-179. ISBN 9781909522169
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Abstract
An intelligent system is proposed within INCASS (Inspection Capabilities for Enhanced Ship Safety) project for evaluating ship structural reliability and assisting in fatigue damage and structure response assessment. The system combines hydrodynamic, finite element and structural reliability models.. The hydrodynamic analysis model is not discussed in this paper. The finite element model input is a mesh for the mid-ship part of the vessel. Finally, the in-house structural reliability model input is the calculated output of the previous model as well as models for estimating crack development and propagation, corrosion growth and fatigue loading. The output includes the probability of failure for all the investigated components versus time which can be used to assess safe operation through the developed decision support software. The database can receive information from various sources including inspection and robotic systems data. The case study of a capsize bulk carrier the presents structural evaluation process.
ORCID iDs
Michala, A. L. ORCID: https://orcid.org/0000-0001-7821-1279, Barltrop, N., Amirafshari, P. ORCID: https://orcid.org/0000-0001-5394-9648, Lazakis, I. ORCID: https://orcid.org/0000-0002-6130-9410 and Theotokatos, G. ORCID: https://orcid.org/0000-0003-3547-8867;-
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Item type: Book Section ID code: 58434 Dates: DateEvent13 October 2016Published16 September 2016AcceptedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 02 Nov 2016 12:21 Last modified: 05 Dec 2024 01:03 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/58434