A multi-algorithm integration machine learning approach for high cycle fatigue prediction of a titanium alloy in aero-engine
Siyao Zhu, Yue Zhang, Xin Chen, Yuhuai He, Xu We
Topics & Concepts
Random forestTitanium alloySupport vector machineLow-cycle fatigueMachine learningComputer scienceArtificial intelligenceAlgorithmFatigue testingRegressionAlloyMaterials scienceStructural engineeringEngineeringMetallurgyMathematicsStatisticsFatigue and fracture mechanicsNon-Destructive Testing TechniquesHydrogen embrittlement and corrosion behaviors in metals