Civil Engineering and Architecture Vol. 10(1), pp. 334 - 344
DOI: 10.13189/cea.2022.100128
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Corroded Subsea Pipelines Burst Pressure Prediction Utilizing Finite Element Data Using ANN


Mohd Fakri Muda 1, Mohd Hisbany Mohd Hashim 2,*, Mohd Khairul Kamarudin 2, Mohd Hairil Mohd 3, Marzuki Abdul Rahman 1
1 School of Civil Engineering, Universiti Teknologi MARA Cawangan Pahang, Kampus Jengka, 26400 Jengka, Pahang, Malaysia
2 School of Civil Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
3 Department of Maritime Technology, Universiti Malaysia Terengganu, Malaysia

ABSTRACT

The Engineering industry is constantly exploring an effective and fast-solving method for complicated engineering problems. The adaptation of artificial intelligent technology can diminish the time-consuming of conventional analysis methods, especially in offshore engineering. For that reason, this study is pursued to build a prediction model to predict the residual strength of API 5L X42 subsea pipelines. An artificial neural network is used as an analytical medium in developing the prediction model. Three (3) physical shapes of corrosion data with diverse corrosion level are designed as input data based on the corroded subsea pipelines of true 2009 historical inspection data of South China Sea. The output data are obtained from the finite element analysis to produce the burst pressure data. The performance model is evaluated using mean squared error (MSE) and mean absolute error (MAE) which results in 9.13 x 10-5 and 0.005499 respectively for the optimum model. The predicted output shows significant similarity in line with the finite element output for validation purposes. This model is expected to provide quick prediction reliability of subsea pipelines to the engineers and reduce or eliminate massive analysis work.

KEYWORDS
Subsea Pipelines, Residual Strength, Corrosion, Prediction, ANN, FEM

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Mohd Fakri Muda , Mohd Hisbany Mohd Hashim , Mohd Khairul Kamarudin , Mohd Hairil Mohd , Marzuki Abdul Rahman , "Corroded Subsea Pipelines Burst Pressure Prediction Utilizing Finite Element Data Using ANN," Civil Engineering and Architecture, Vol. 10, No. 1, pp. 334 - 344, 2022. DOI: 10.13189/cea.2022.100128.

(b). APA Format:
Mohd Fakri Muda , Mohd Hisbany Mohd Hashim , Mohd Khairul Kamarudin , Mohd Hairil Mohd , Marzuki Abdul Rahman (2022). Corroded Subsea Pipelines Burst Pressure Prediction Utilizing Finite Element Data Using ANN. Civil Engineering and Architecture, 10(1), 334 - 344. DOI: 10.13189/cea.2022.100128.