Predictive Modeling of Electromechanical Impedance Spectroscopy for Composite Materials
Engineering, Mechanical Engineering
The advancement of composite materials in aircraft structures has led to an increased need for effective structural health monitoring technologies that are able to detect and assess damage present in composite structures. The study presented in this article is interested in understanding self-sensing piezoelectric wafer sensors to conduct electromechanical impedance spectroscopy in glass fiber reinforced polymer composite to perform structural health monitoring. For this objective, multi-physics-based finite element method is used to model the electromechanical behavior of a free piezoelectric wafer active sensor and its interaction with the host structure on which it is bonded. The multi-physics-based modeling permits the input and output variables to be expressed directly in electric terms, while the two-way electromechanical conversion is done internally in the multi-physics-based finite element method formulation. The impedance responses are also studied in conditions when the sensor bonding layer is subject to degradation and when the sensor itself is subjected to breakage, respectively. To reach the goal of using the electromechanical impedance spectroscopy approach to detect damage, several damage models are generated on simplified orthotropic structure and laminated glass fiber reinforced polymer structures. The effects of the modeling are carefully studied through experimental validation. A good match has been observed for low and high frequencies.
Postprint version. Published in Structural Health Monitoring, Volume 11, Issue 6, 2012, pages 671-683.
© Structural Health Monitoring, 2012, SAGE Publications
Gresil, M., Yu, L., Giurgiutiu, V. (2012). Predictive Modeling of Electromechanical Impedance Spectroscopy for Composite Materials. Structural Health Monitoring, 11(6), 671-683.