Environmental Effects on Piezoelectric Sensors Array Signals and a Compensated Damage Imaging Method
Zhiling Wang1, Yongteng Zhong2, Jinyu Zhou1
1School of Mechanical and Electrical Engineering, Jinling Institute of Technology, Nanjing 211169, China.
Materials (Basel, Switzerland)
|November 27, 2021
Summary
This study introduces a compensated 2D-MUSIC method to improve damage imaging in composite structures using piezoelectric sensors. It effectively addresses environmental variations, enhancing structural health monitoring accuracy.
Area of Science:
- Materials Science and Engineering
- Mechanical Engineering
- Sensor Technology
Background:
- Piezoelectric sensor arrays offer high-resolution damage imaging for structural health monitoring (SHM).
- Environmental variations (e.g., temperature, humidity) can significantly impact the gain-phase characteristics of sensor array signals, affecting imaging accuracy.
Purpose of the Study:
- To experimentally evaluate the impact of environmental variations on piezoelectric sensor arrays.
- To develop and validate a compensated 2D-MUSIC algorithm for accurate damage imaging in composite structures under changing environmental conditions.
Main Methods:
- Detailed analysis of gain-phase differences in array signals due to environmental parameter changes.
- Development of an array error matrix to compensate the steering vector in the 2D-MUSIC algorithm.
- Application of the compensated 2D-MUSIC algorithm for iterative damage source localization and minimization of a cost function.
Main Results:
- Quantification of gain-phase variations in piezoelectric sensor arrays with respect to environmental parameters.
- Demonstration of the compensated 2D-MUSIC algorithm's ability to accurately estimate damage locations.
- Experimental validation on an epoxy laminate plate confirming the method's effectiveness.
Conclusions:
- The proposed compensated 2D-MUSIC method effectively mitigates environmental effects on piezoelectric sensor array signals.
- This approach significantly enhances the reliability and accuracy of damage imaging for structural health monitoring in composite materials.


