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ANN-based response surface method and its application to ultimate strength of plates

Lookup NU author(s): Dr Yongchang Pu, Professor Ehsan Mesbahi

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Abstract

In this paper, artificial neural networks (ANN)-based response surface method (RSM) is presented. This method is compared with conventional polynomial-based RSM in the context of structural reliability analysis, ANN-based RSM is then applied to predict ultimate strength of unstiffened plates. It is found out that the ANN-based RSM is more accurate and efficient than polynomial-based RSM in structural reliability analysis. ANN-based RSM can more accurately predict ultimate strength of unstiffened plates than the existing empirical formulae. Copyright © 2005 by The International Society of Offshore and Polar Engineers.

Publication metadata

Author(s): Pu Y, Mesbahi E, Elhewy AH

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 15th International Offshore and Polar Engineering Conference

Year of Conference: 2005

Number of Volumes: 4

Pages: 752-758

Publisher: ISOPE

URL: http://www.isope.org/conferences/conferences.htm

Library holdings: Search Newcastle University Library for this item

ISBN: 1880653648

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