An interpretable machine learning model for failure pressure prediction of blended hydrogen natural gas pipelines containing a crack-in-dent defect
Guojin Qin, Chao Zhang, Bohong Wang, Pingan Ni, Yihuan Wang, Yihuan Wang
Topics & Concepts
Natural gasPipeline transportPetroleum engineeringEngineeringComputer scienceForensic engineeringMaterials scienceStructural engineeringMechanical engineeringWaste managementStructural Integrity and Reliability AnalysisOil and Gas Production TechniquesNon-Destructive Testing Techniques