Sensor Placement for Structural Damage Detection considering Measurement Uncertainties

Structural damage detection methods using vibration measurements have been developed for decades. Measurement selections may affect damage detection results, because inevitable uncertainties are involved in vibration testing. A new sensor placement index is defined as the ratio of two parameters, namely, the contribution of measurement points to a Fisher information matrix, and the damage sensitivity to the measurement noise. A large value of the contribution vector represents that the corresponding measurement points are sensitive to the damage and measurements at these points are more prominent for structural damage identification, whereas a small noise sensitivity value indicates measurement points that are less influenced by noises. Consequently, the points with large index values are chosen as the measurement subset. The effectiveness of the proposed technique is verified using a laboratory-tested steel frame. The damage detection using different measurement selection schemes shows that the present technique can identify multiple damages of the structure more accurately. The effect of the measurement number is also investigated.

[1]  Daniel C. Kammer.  Sensor set expansion for modal vibration testing , 2005 .

[2]  Lambros S. Katafygiotis,et al.  Bayesian spectral density approach for modal updating using ambient data , 2001 .

[3]  K. Lim.  Method for Optimal Actuator and Sensor Placement for Large Flexible Structures , 1992 .

[4]  Charles R. Farrar,et al.  Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .

[5]  Hong Hao,et al.  Damage identification of structures with uncertain frequency and mode shape data , 2002 .

[6]  Zhao-Dong Xu,et al.  Sensitivity Analysis of Acceleration-based Energy Damage Detection Strategy to Load Excitations and Sensor Placement , 2009 .

[7]  Richard B. Nelson,et al.  Simplified calculation of eigenvector derivatives , 1976 .

[8]  Hongnan Li,et al.  A new method for optimal selection of sensor location on a high-rise building using simplified finite element model , 2011 .

[9]  Hong Hao,et al.  Vibration-based Damage Detection of Structures by Genetic Algorithm , 2002 .

[10]  S. S. Law,et al.  Optimum sensor placement for structural damage detection , 2000 .

[11]  Masoud Sanayei,et al.  Parameter Estimation of Structures from Static Strain Measurements. I: Formulation , 1996 .

[12]  Zhao-Dong Xu,et al.  Energy Damage Detection Strategy Based on Strain Responses for Long-Span Bridge Structures , 2011 .

[13]  Hong Hao,et al.  MEASUREMENT SELECTION FOR VIBRATION-BASED STRUCTURAL DAMAGE IDENTIFICATION , 2000 .

[14]  Zhao-Dong Xu,et al.  Energy damage detection strategy based on acceleration responses for long-span bridge structures , 2007 .

[15]  F. Hemez,et al.  Improved Damage Location Accuracy Using Strain Energy-Based Mode Selection Criteria , 1997 .

[16]  Charles R. Farrar,et al.  A comparison study of modal parameter confidence intervals computed using the Monte Carlo and Bootstrap techniques , 1998 .

[17]  D. Kammer.  Sensor Placement for On-Orbit Modal Identification and Correlation of Large Space Structures , 1990, 1990 American Control Conference.

[18]  C. Farrar,et al.  Effects of measurement statistics on the detection of damage in the Alamosa Canyon Bridge , 1996 .

[19]  Richard G. Cobb,et al.  Sensor Placement and Structural Damage Identification from Minimal Sensor Information , 1997 .

[20]  Masoud Sanayei,et al.  PRACTICAL ISSUES IN THE APPLICATION OF STRUCTURAL IDENTIFICATION , 1999 .

[21]  Shao-Fei Jiang,et al.  Structural Damage Detection by Integrating Data Fusion and Probabilistic Neural Network , 2006 .

[22]  T. Breitfeld,et al.  A Method for Identification of a Set of Optimal Measurement Points for Experimental Modal Analysis , 1995 .

[23]  You-Lin Xu,et al.  Structural Health Monitoring of Long-Span Suspension Bridges , 2011 .

[24]  Wang-Ji Yan,et al.  Damage Detection Method Based on Element Modal Strain Energy Sensitivity , 2010 .

[25]  F. Udwadia,et al.  Optimal Sensor Locations for Structural Identification , 1985 .