Non-parametric damage detection and characterization using smart piezoceramic material

The detection of damages by modal analysis and similar vibration techniques depends upon the knowledge and estimation of various modal parameters. In addition to the associated difficulties, such low-frequency dynamic response based techniques fail to detect incipient damages. Smart piezoelectric ceramic (PZT) transducers, which act both as actuators and sensors in a self-analyzing manner, are emerging to be effective in non-parametric health monitoring of structural systems. In this paper we present the results of an experimental study for the detection and characterization of damages using PZT transducers on aluminum specimens. The method of extracting the impedance characteristics of the PZT transducer, which is electromechanically coupled to the host structure, is adopted for damage detection. Three types of damage are simulated and assessed by the bonded PZT transducers for characterization. We present the effectiveness of PZT transducers in the detection and characterization of incipient damages without the need to know the modal parameters. The PZT transducers are found to have a significantly large sensing area for detecting even small incipient damages. The possibility of replicating the pristine state signatures of different transducers under similar conditions of bonding and geometrical location is also explored. For appropriate characterization of damages, a few statistical signature pattern recognition techniques are evaluated.

[1]  Robert D. Adams,et al.  A Vibration Technique for Non-Destructively Assessing the Integrity of Structures: , 1978 .

[2]  Robert D. Adams,et al.  The location of defects in structures from measurements of natural frequencies , 1979 .

[3]  P. Cawley,et al.  A Comparison of the Natural Frequency Changes Produced by Cracks and Slots , 1988 .

[4]  Arun Kumar Pandey,et al.  Damage detection from changes in curvature mode shapes , 1991 .

[5]  Daniel J. Inman,et al.  On damping mechanisms in beams , 1991 .

[6]  Mahmod M. Samman,et al.  Vibration Testing for Nondestructive Evaluation of Bridges. II: Results , 1994 .

[7]  K. Hjelmstad,et al.  Parameter Estimation of Structures from Static Response. I. Computational Aspects , 1994 .

[8]  Mahmod M. Samman,et al.  VIBRATION TESTING FOR NONDESTRUCTIVE EVALUATION OF BRIDGES. I: THEORY , 1994 .

[9]  A. K. Pandey,et al.  Damage Detection in Structures Using Changes in Flexibility , 1994 .

[10]  D. Zimmerman,et al.  Structural damage detection using a minimum rank update theory , 1994 .

[11]  Craig A. Rogers,et al.  Automated real-time structure health monitoring via signature pattern recognition , 1995, Smart Structures.

[12]  Daniel J. Inman,et al.  An experimentally validated damage detection theory in smart structures , 1996 .

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

[14]  Craig A. Rogers,et al.  Supporting results on the modeling of wave propagation and energy dissipation in joints , 1997, Smart Structures.

[15]  Craig A. Rogers,et al.  Qualitative impedance-based health monitoring of civil infrastructures , 1998 .

[16]  Victor Giurgiutiu,et al.  Recent advancements in the electromechanical (E/M) impedance method for structural health monitoring and NDE , 1998, Smart Structures.

[17]  Chee Kiong Soh,et al.  Health Monitoring Of Civil Infrastructure Using Smart PiezoelectricTransducer Patches , 2000 .

[18]  Suresh Bhalla,et al.  Performance of smart piezoceramic patches in health monitoring of a RC bridge , 2000 .

[19]  Suresh. Bhalla,et al.  SMART SYSTEM BASED AUTOMATED HEALTH MONITORING OF STRUCTURES , 2001 .