Structural health monitoring using a hybrid network of self-powered accelerometer and strain sensors

Amir H. Alavi; Hassene Hasni; Pengcheng Jiao; Nizar Lajnef

doi:10.1117/12.2258633

12 April 2017 Structural health monitoring using a hybrid network of self-powered accelerometer and strain sensors

Amir H. Alavi, Hassene Hasni, Pengcheng Jiao, Nizar Lajnef

Proceedings Volume 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017; 101682N (2017) https://doi.org/10.1117/12.2258633
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

This paper presents a structural damage identification approach based on the analysis of the data from a hybrid network of self-powered accelerometer and strain sensors. Numerical and experimental studies are conducted on a plate with bolted connections to verify the method. Piezoelectric ceramic Lead Zirconate Titanate (PZT)-5A ceramic discs and PZT-5H bimorph accelerometers are placed on the surface of the plate to measure the voltage changes due to damage progression. Damage is defined by loosening or removing one bolt at a time from the plate. The results show that the PZT accelerometers provide a fairly more consistent behavior than the PZT strain sensors. While some of the PZT strain sensors are not sensitive to the changes of the boundary condition, the bimorph accelerometers capture the mode changes from undamaged to missing bolt conditions. The results corresponding to the strain sensors are better indicator to the location of damage compared to the accelerometers. The characteristics of the overall structure can be monitored with even one accelerometer. On the other hand, several PZT strain sensors might be needed to localize the damage.

Conference Presentation

Citation Download Citation

Amir H. Alavi, Hassene Hasni, Pengcheng Jiao, and Nizar Lajnef "Structural health monitoring using a hybrid network of self-powered accelerometer and strain sensors", Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101682N (12 April 2017); https://doi.org/10.1117/12.2258633

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