The University of Southampton
University of Southampton Institutional Repository

Reliability-based sensitivity analysis of ships

Reliability-based sensitivity analysis of ships
Reliability-based sensitivity analysis of ships
Failure of a ship hull girder is a very important failure mode, which is normally catastrophic and has severe consequences. It is of great importance to predict accurately the ultimate strength of a hull girder so that an adequate but not excessive safety margin for this failure can be ensured in the ship design. This study proposes a method for reliability-based analysis of the ultimate strength of a hull girder. The reliability method is interactively integrated with progressive collapse analysis so that the uncertainties in individual random variables relating to the prediction of the ultimate strength of a hull girder can be accurately considered in reliability analysis and that sensitivity factors of these random variables can be probabilistically evaluated. The ultimate strength will be evaluated using a progressive collapse analysis methodology with the appropriate individual element stress-strain curves derived interactively. The method is applied to two example structures and the sensitivities of the reliability to the random variables are presented
1475-0902
11-23
Downes, Jonathan
ebc0f09b-9d33-4815-bedf-bc77df59c822
Pu, Y.
67661139-3095-4b86-bae1-4c50f016e966
Downes, Jonathan
ebc0f09b-9d33-4815-bedf-bc77df59c822
Pu, Y.
67661139-3095-4b86-bae1-4c50f016e966

Downes, Jonathan and Pu, Y. (2005) Reliability-based sensitivity analysis of ships. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 219 (1), 11-23. (doi:10.1243/147509005X10468).

Record type: Article

Abstract

Failure of a ship hull girder is a very important failure mode, which is normally catastrophic and has severe consequences. It is of great importance to predict accurately the ultimate strength of a hull girder so that an adequate but not excessive safety margin for this failure can be ensured in the ship design. This study proposes a method for reliability-based analysis of the ultimate strength of a hull girder. The reliability method is interactively integrated with progressive collapse analysis so that the uncertainties in individual random variables relating to the prediction of the ultimate strength of a hull girder can be accurately considered in reliability analysis and that sensitivity factors of these random variables can be probabilistically evaluated. The ultimate strength will be evaluated using a progressive collapse analysis methodology with the appropriate individual element stress-strain curves derived interactively. The method is applied to two example structures and the sensitivities of the reliability to the random variables are presented

This record has no associated files available for download.

More information

Published date: 2005
Organisations: Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 363776
URI: http://eprints.soton.ac.uk/id/eprint/363776
ISSN: 1475-0902
PURE UUID: 0e2c10a9-4cd4-40af-86be-fadfd599c06b
ORCID for Jonathan Downes: ORCID iD orcid.org/0000-0003-2027-4474

Catalogue record

Date deposited: 03 Apr 2014 11:04
Last modified: 15 Mar 2024 03:49

Export record

Altmetrics

Contributors

Author: Jonathan Downes ORCID iD
Author: Y. Pu

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×