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Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure

Jie Cai, Xiaoli Jiang, Yazhou Yang, Gabriël Lodewijks, Minchang Wang

2022Journal of Marine Science and Application22 citationsDOIOpen Access PDF

Topics & Concepts

Artificial neural networkSupport vector machinePipeline transportMachine learningHyperparameterArtificial intelligenceGeneralizationComputer scienceFinite element methodEngineeringData miningStructural engineeringMechanical engineeringMathematicsMathematical analysisStructural Integrity and Reliability AnalysisCorrosion Behavior and InhibitionNon-Destructive Testing Techniques
Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure | Litcius