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Using machine learning to predict lifetime under isothermal low-cycle fatigue and thermo-mechanical fatigue loading

Michal Bartošák

2022International Journal of Fatigue54 citationsDOI

Topics & Concepts

Isothermal processCreepArtificial neural networkLow-cycle fatigueMaterials scienceFatigue testingStructural engineeringShape-memory alloyArtificial intelligenceMachine learningComputer scienceComposite materialEngineeringThermodynamicsPhysicsHigh Temperature Alloys and CreepFatigue and fracture mechanicsMicrostructure and Mechanical Properties of Steels
Using machine learning to predict lifetime under isothermal low-cycle fatigue and thermo-mechanical fatigue loading | Litcius