A Unified Mixed Deep Neural Network for Fatigue Damage Detection in Components with Different Stress Concentrations

Keyphrases

• Stress Concentration 100%
• Deep Neural Network 100%
• Fatigue Damage Assessment 100%
• Micron-scale 50%
• Custom Design 25%
• Confocal Microscope 25%
• Time Series Data 25%
• Aluminum Alloy 25%
• Training Data 25%
• Fatigue Damage 25%
• Neural Network Method 25%
• Mixing Effect 25%
• Unseen 25%
• High Strength 25%
• Fatigue Testing 25%
• Parametric Analysis 25%
• Amount of Training 25%
• Motion Stage 25%
• High-frequency Ultrasonic Transducer 25%
• Polycrystalline Aluminum 25%

Engineering

• Fatigue Damage 100%
• Damage Detection 100%
• Stress Concentration 100%
• Ultrasonics 33%
• Stress Concentration Factor 33%
• Confocal Microscope 16%
• Transducer 16%
• Polycrystalline 16%
• Data Series 16%
• Fatigue Testing 16%
• Neural Network Approach 16%
• Parametric Analysis 16%