3 Artículos

Empirical Failure Pressure Prediction Equations for Pipelines with Longitudinal Interacting Corrosion Defects Based on Artificial Neural Network

Acceso

en línea

Suria Devi Vijaya Kumar, Michael Lo, Saravanan Karuppanan and Mark Ovinis

Conventional pipeline failure pressure assessment codes do not allow for failure pressure prediction of interacting defects subjected to combined loadings. Alternatively, numerical approaches may be used; however, they are computationally expensive. In t... ver más

Revista: Journal of Marine Science and Engineering Formato: Electrónico

Tabla de contenido: Vol: 10 Num: 0 Par: 6 Año: 2022

An Artificial Neural Network-Based Equation for Predicting the Remaining Strength of Mid-to-High Strength Pipelines with a Single Corrosion Defect

Acceso

en línea

Michael Lo, Suria Devi Vijaya Kumar, Saravanan Karuppanan and Mark Ovinis

Numerical methods such as finite element analysis (FEA) can accurately predict remaining strength, with strong correlation with actual burst tests. However, parametric studies with FEA are time and computationally intensive. Alternatively, an artificial ... ver más

Revista: Applied Sciences Formato: Electrónico

Tabla de contenido: Vol: 12 Num: 0 Par: 3 Año: 2022

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