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Artificial neural network based prediction of ultimate buckling strength of liquid natural gas cargo containment system under sloshing loads considering onboard boundary conditions

Young IL. Park, Jeong-Hwan Kim

2022Ocean Engineering24 citationsDOI

Topics & Concepts

BucklingArtificial neural networkStructural engineeringFinite element methodSlosh dynamicsBoundary value problemContainment (computer programming)HullLiquefied natural gasEngineeringComputer scienceNatural gasMarine engineeringMathematicsArtificial intelligenceMathematical analysisProgramming languageWaste managementFluid Dynamics Simulations and InteractionsStructural Integrity and Reliability AnalysisSpacecraft and Cryogenic Technologies
Artificial neural network based prediction of ultimate buckling strength of liquid natural gas cargo containment system under sloshing loads considering onboard boundary conditions | Litcius