The benefits and limitations of using embedded piezoelectric active sensors for structural identification at ultrasonic frequency are highlighted. An analytical model based on structural vibration theory and theory of piezoelectricity was developed and used to predict the electro-mechanical (E/M) impedance response, as it would be measured at the piezoelectric active sensor’s terminals. The model considers one-dimension structures and accounts for both axial and flexural vibrations. Experiments were conducted on simple specimens in support of the theoretical investigation, and on realistic turbine blade specimen to illustrate the method’s potential. It was shown that E/M impedance spectrum recorded by the piezoelectric active sensor accurately represents the mechanical response of a structure. It was further proved that the response of the structure is not modified by the presence of the sensor, thus validating the latter’s noninvasive characteristics. It is shown that such sensors, of negligible mass, can be permanently applied to the structure creating a nonintrusive sensor array adequate for on-line automatic structural identification and health monitoring. The sensor calibration procedure is outlined. Numerical estimation of the noninvasive properties of the proposed active sensors in comparison with conventional sensors is presented. Self-diagnostics capabilities of the proposed sensors were also investigated and methods for automatic self-test implementation are discussed. The paper underlines that the use of piezoelectric wafer active sensors is not only advantageous, but, in certain situations, may be the sole investigative option, as in the case of precision machinery, small but critical turbine-engine parts, and computer industry components.
Skip Nav Destination
Article navigation
January 2002
Technical Papers
Embedded Self-Sensing Piezoelectric Active Sensors for On-Line Structural Identification
Victor Giurgiutiu, Associate Professor, Mem. ASME,
Victor Giurgiutiu, Associate Professor, Mem. ASME
Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208
Search for other works by this author on:
Andrei N. Zagrai, Graduate Research Assistant, Student Mem. ASME
Andrei N. Zagrai, Graduate Research Assistant, Student Mem. ASME
Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208
Search for other works by this author on:
Victor Giurgiutiu, Associate Professor, Mem. ASME
Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208
Andrei N. Zagrai, Graduate Research Assistant, Student Mem. ASME
Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208
Contributed by the Technical Committee on Vibration and Sound for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received Feb. 2001; revised July 2001. Associate Editor: R. Ohayon.
J. Vib. Acoust. Jan 2002, 124(1): 116-125 (10 pages)
Published Online: July 1, 2001
Article history
Received:
February 1, 2001
Revised:
July 1, 2001
Citation
Giurgiutiu, V., and Zagrai, A. N. (July 1, 2001). "Embedded Self-Sensing Piezoelectric Active Sensors for On-Line Structural Identification ." ASME. J. Vib. Acoust. January 2002; 124(1): 116–125. https://doi.org/10.1115/1.1421056
Download citation file:
Get Email Alerts
On Dynamic Analysis and Prevention of Transmission Squawk in Wet Clutches
J. Vib. Acoust (June 2024)
Related Articles
Virtual Vibration Measurement Using KLT Motion Tracking Algorithm
J. Dyn. Sys., Meas., Control (January,2010)
Embedded Active Sensors for In-Situ Structural Health Monitoring of Thin-Wall Structures
J. Pressure Vessel Technol (August,2002)
Experimental Measurement of Mode Shapes and Frequencies for Vibration of Plates by Optical Interferometry Method
J. Vib. Acoust (April,2001)
Correlation Analysis of Multiple Sensors for Industrial Gas Turbine Compressor Blade Health Monitoring
J. Eng. Gas Turbines Power (November,2015)
Related Proceedings Papers
Related Chapters
Vibration Measurement and Load Identification of Offshore Platforms
International Conference on Mechanical and Electrical Technology 2009 (ICMET 2009)
Concluding Remarks and Future Work
Ultrasonic Welding of Lithium-Ion Batteries
Analysis of ASTM Round-Robin Results: Ae Sensors, Systems, Brands, and Calibration Rods
Acoustic Emission Testing of Aerial Devices and Associated Equipment Used in the Utility Industries