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