Constant-amplitude fatigue crack growth sequence regression on an aircraft lap joint using a 1-D convolutional network

Keyphrases

• Lap Joint 100%
• 1D Convolutional Neural Network 100%
• Fatigue Crack Growth 100%
• Growth Sequence 100%
• Constant Amplitude Fatigue 100%
• Fatigue Test 66%
• Fatigue Damage 66%
• Load Sequence 66%
• Structural Integrity 33%
• Assure 33%
• Growth Rate 33%
• Correction Factor 33%
• Physical Tests 33%
• Multivariate Regression 33%
• Multiple Sites 33%
• Aging Aircraft 33%
• Collective Development 33%
• Data Combination 33%
• Sequence Testing 33%
• Rapid Degradation 33%
• Crack Growth Analysis 33%
• Damage Progression 33%
• Average MSE 33%
• Fatigue Crack 33%
• Analysis Program 33%
• Multiple Cracks 33%
• Residual Strength 33%
• Structural Perspective 33%
• Fatigue Damage Model 33%
• Material Fatigue 33%
• Strength Level 33%
• Federal Aviation Administration 33%
• Fracture Mechanics 33%
• Group Experiences 33%
• Regression Task 33%

Engineering

• Fatigue Damage 100%
• Constant Amplitude 100%
• Lap Joint 100%
• Fatigue Crack Growth 100%
• Mechanical Fatigue Test 66%
• Structural Element 66%
• Test Data 33%
• Structural Integrity 33%
• Ageing Aircraft 33%
• Initial Condition 33%
• Crack Growth 33%
• Progression 33%
• Growth Analysis 33%
• Testing Set 33%
• Damage Model 33%
• Federal Aviation Administration 33%
• Multiple Crack 33%
• Fatigue Resistance 33%
• Fatigue Crack 33%
• Convolutional Neural Network 33%
• Fracture Mechanics 33%

Material Science

• Aircraft 100%
• Fatigue Crack Growth 100%
• Fatigue Damage 60%
• Aluminum 20%
• Fatigue Crack 20%
• Fracture Mechanics 20%
• Fatigue of Materials 20%
• Crack Growth 20%
• Residual Strength 20%