Structural Damage Identification Using Piezoelectric Impedance Sensing with Enhanced Optimization and Enriched Measurements
Document Type
Conference Proceeding
Publication Date
4-18-2023
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
Fault parameters in a structure can be identified by matching measurements with model predictions in the parametric space. As high frequency measurements are preferred to uncover small-size damage, piezoelectric impedance/admittance active interrogation has shown promising aspects. Nevertheless, the amount of useful measurement information is generally insufficient to pinpoint damage, and the inverse identification is underdetermined. In this research, we develop a combinatorial enhancement to tackle these challenges. A tunable piezoelectric impedance sensing procedure is developed in which an adaptive inductance element is integrated with the piezoelectric transducer, which will lead to enriched measurement data for the same damage. Subsequently, an intelligent multi-objective particle swarm optimization approach is synthesized to inversely identify the damage location and severity. Case studies are conducted to highlight the accuracy of the damage identification.
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
ISBN
9781510660793
Recommended Citation
Zhang, Y.,
Dupont, J.,
Wang, T.,
Zhou, K.,
&
Tang, J.
(2023).
Structural Damage Identification Using Piezoelectric Impedance Sensing with Enhanced Optimization and Enriched Measurements.
Proceedings of SPIE - The International Society for Optical Engineering,
12486.
http://doi.org/10.1117/12.2658628
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/17123