Structural damage identification via multi-type sensors and response reconstruction

Keyphrases

• Structural Damage Detection 100%
• Sensor Reconstruction 100%
• Multi-type Sensors 100%
• Response Reconstruction 100%
• Multi-type Responses 100%
• Heterogeneous Sensors 100%
• Modal Properties 66%
• Civil Structures 66%
• Vibration-based Damage Detection 66%
• Finite Element Model Updating 66%
• Strain Gauge 33%
• Measure Data 33%
• Degrees of Freedom 33%
• Kalman Filter 33%
• Accelerometer 33%
• Radial Basis Function Neural Network (RBFNN) 33%
• Simulation Study 33%
• Steel Beam 33%
• Mode Shape 33%
• Sensitivity Method 33%
• Damage Detection 33%
• Local Damage 33%
• Displacement Transducer 33%
• Simply Supported 33%
• Damage Identification 33%
• Experimental Modal Analysis 33%
• Number of Sensors 33%
• Optimization Strategy 33%
• Sensor Technology 33%
• Reconstruction Technique 33%
• Identification Accuracy 33%
• Damaged Structures 33%
• Modal Analysis Method 33%
• Total Degree 33%
• Multi-sensing 33%
• Simulation Laboratory 33%
• Sparse Regularization 33%
• Sensor Type 33%

Engineering

• Structural Damage Identification 100%
• Heterogeneous Sensor 100%
• Finite Element Modeling 66%
• Numerical Study 33%
• Optimization Strategy 33%
• Degree of Freedom 33%
• Measurement Data 33%
• Steel Beam 33%
• Mode Shape 33%
• Kalman Filter 33%
• Displacement Transducer 33%
• Modal Analysis Method 33%
• Strain Gage 33%
• Regularization 33%
• Radial Basis Function Network 33%

Material Science

• Finite Element Modeling 100%
• Modal Testing 50%
• Accelerometer 50%
• Transducer 50%