Smart Structures and Systems

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Autonomous hardware development for impedance-based structural health monitoring

  • Grisso, Benjamin L. (Center for Intelligent Material Systems and Structures, Virginia Polytechnic Institute and State University) ;
  • Inman, Daniel J. (Center for Intelligent Material Systems and Structures, Virginia Polytechnic Institute and State University)
  • Received : 2007.09.27
  • Accepted : 2007.01.17
  • Published : 2008.05.25
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Abstract

The development of a digital signal processor based prototype is described in relation to continuing efforts for realizing a fully self-contained active sensor system utilizing impedance-based structural health monitoring. The impedance method utilizes a piezoelectric material bonded to the structure under observation to act as both an actuator and sensor. By monitoring the electrical impedance of the piezoelectric material, insights into the health of the structured can be inferred. The active sensing system detailed in this paper interrogates a structure utilizing a self-sensing actuator and a low cost impedance method. Here, all the data processing, storage, and analysis is performed at the sensor location. A wireless transmitter is used to communicate the current status of the structure. With this new low cost, field deployable impedance analyzer, reliance on traditional expensive, bulky, and power consuming impedance analyzers is no longer necessary. A complete power analysis of the prototype is performed to determine the validity of power harvesting being utilized for self-containment of the hardware. Experimental validation of the prototype on a representative structure is also performed and compared to traditional methods of damage detection.

Keywords

References

  1. Allen, D. W., Peairs, D. M., and Inman, D. J. (2004), "Damage detection by applying statistical methods to PZT impedance measurements", Proceedings of SPIE's 11th Annual International Symposium on Smart Struct. Mater., 5390, 513-520, San Diego, CA, March 14-18.
  2. Grisso, B. L., Martin, L. A., and Inman, D. J. (2005), "A wireless active sensing system for impedance-based structural health monitoring", Proceedings of IMAC XXIII, Orlando, FL, January 31-February 3.
  3. Liang, C., Sun, F. P., and Rogers, C. A. (1994), "An impedance method for dynamic analysis of active material system", J. Vib. Acoustics, 116, 121-128.
  4. Lynch J. P. and Loh K. (2005), "A summary review of wireless sensors and sensor networks for structural health monitoring", Shock Vib. Digest, 38(2), 91-128.
  5. Lynch, J. P., Sundararajan, A., Law, K. H., Sohn, H., and Farrar, C. R. (2004), "Design of a wireless active sensing unit for structural health monitoring", Proceedings of SPIE's 11th Annual International Symposium on Smart Structures and Materials, 5394, 157-168, San Diego, CA, March 14-18.
  6. Mascarenas, D. L., Todd, M. D., Park, G., and Farrar, C. R., (2006). "A miniaturized electromechanical impedancebased node for the wireless interrogation of structural health", Proceeding of SPIE's 13th Annual International Symposium on Smart Structures and Materials, 6177, March 28.
  7. Park, G., Sohn, H., Farrar, C. R., and Inman, D. J. (2003), "Overview of piezoelectric impedance-based health monitoring and path forward", The Shock Vib. Digest, 35(6), 451-463. https://doi.org/10.1177/05831024030356001
  8. Peairs, D. M., Park, G., and Inman D. J. (2004). "Improving accessibility of the impedance-based structural health monitoring method", J. Intell. Mater. Sys. Struct., 15(2), 129-140. https://doi.org/10.1177/1045389X04039914
  9. Radiometrix Ltd. (2005), UHF Narrow Band FM multi channel radio modules, Radiometrix Inc., Harrow, Middlesex, England.
  10. Schilling, R. J. and Harris, S. L. (2005), Fundamentals of Digital Signal Processing using MATLAB, Nelson, Toronto, Ontairo.
  11. Sodano, H. A., Park, G., Leo, D. J., and Inman, D. J. (2003), "Use of piezoelectric energy harvesting devices for charging batteries", Proceeding of SPIE's 10th Annual International Symposium on Smart Structures and Materials, 5050, 101-108, July.
  12. Spencer, Jr., B. F., Ruiz-Sandoval, M. E., and Kurata, N. (2004), "Smart sensing technology: opportunities and challenges", J. Struct. Control Health Monit., 11(4), 349-368. https://doi.org/10.1002/stc.48
  13. Tanner, N. A., Wait, J. R., Farrar, C. R., and Sohn, H. (2003), "Structural health monitoring using modular wireless sensors", J. Intelligent Mater. Sys. Struct., 14(1), 43-55. https://doi.org/10.1177/1045389X03014001005
  14. Texas Instruments. (2005a). Code Composer Studio Development Tools v3.1 Getting Started Guide, Texas Instruments Inc., Dallas, Texas.
  15. Texas Instruments. (2005b), TMS320C6713, TMS320C6713B Floating-Point Digital Signal Processors, Texas Instruments Inc., Dallas, Texas.
  16. Texas Instruments. (2002), ADS8364EVM User's Guide, Texas Instruments Inc., Dallas, Texas.
  17. Texas Instruments. (2001), TLV5619-5639 12-Bit Parallel DAC Evaluation Module User's Guide, Texas Instruments Inc., Dallas, Texas.

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