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ANFIS method for ultimate strength prediction of unstiffened plates with pitting corrosion


Abdussamie, N and Ojeda, R and Daboos, M, ANFIS method for ultimate strength prediction of unstiffened plates with pitting corrosion, Ships and Offshore Structures, 13, (5) pp. 540-550. ISSN 1744-5302 (2018) [Refereed Article]

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Copyright 2018 Informa UK Limited

DOI: doi:10.1080/17445302.2018.1439668


Increasing attention has recently been paid to the effects of localised pitting corrosion on the ultimate strength of marine structures. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) method was developed to predict the ultimate strength reduction of steel plates with pitting corrosion subjected to uniaxial in-plane compressive loads. Published ultimate strength data-sets for unstiffened plates affected by pitting corrosion were used to train and test a series of ANFIS models composed of input variables. In order to develop the best accurate model, rule-based fuzzy sets were used for mapping the inputs to the output using seven different types of membership functions. The two-sided Gaussian-type function was found to be more effective and less sensitive to the sample size than other functions tested. The developed method provided good estimates (maximum RMSE of 0.019) in comparison with published results obtained using the finite element and artificial neural network methods.

Item Details

Item Type:Refereed Article
Keywords:marine structures, pitting corrosion, adaptive neuro-fuzzy inference system method
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Ocean engineering
Objective Division:Energy
Objective Group:Energy exploration
Objective Field:Oil and gas exploration
UTAS Author:Abdussamie, N (Dr Nagi Abdussamie)
UTAS Author:Ojeda, R (Dr Roberto Ojeda Rabanal)
ID Code:124280
Year Published:2018
Web of Science® Times Cited:9
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2018-02-16
Last Modified:2018-11-23

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