A data-driven methodology for predicting residual strength of subsea pipeline with double corrosion defects
Xinhong Li, Ruichao Jia, Renren Zhang
Topics & Concepts
SubseaPipeline (software)ResidualPipeline transportArtificial neural networkNonlinear systemComputer sciencePiggingEngineeringStructural engineeringMarine engineeringAlgorithmArtificial intelligenceMechanical engineeringPhysicsQuantum mechanicsStructural Integrity and Reliability AnalysisMaterial Properties and Failure MechanismsNon-Destructive Testing Techniques