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Love waves in functionally graded piezoelectric materials by stiffness matrix method
Issam Ben Salah1, Yassine Wali, Mohamed Hédi Ben Ghozlen
1Laboratoire de Physique des Matériaux, Faculté des Sciences de Sfax, BP 815, 3018 Sfax, Tunisia. bs_issam@yahoo.fr
A numerical matrix method accurately predicts ultrasonic guided wave propagation in functionally graded piezoelectric materials. This approach offers flexibility for analyzing Love wave behavior in layered structures, aiding acoustic device design.
Area of Science:
- Materials Science
- Acoustics
- Solid Mechanics
Background:
- Ultrasonic guided waves are crucial for non-destructive testing and device applications.
- Functionally graded piezoelectric materials (FGPMs) offer tunable electromechanical properties.
- Analytical methods for FGPMs can be complex and limited in scope.
Purpose of the Study:
- To develop and validate a numerical matrix method for analyzing ultrasonic guided wave propagation in FGPM heterostructures.
- To compare the numerical approach with existing analytical methods.
- To investigate the influence of material gradients on wave behavior and device performance.
Main Methods:
- A numerical matrix method based on the stiffness matrix approach was employed.
- The FGPM layer was stratified into homogeneous layers to apply the ordinary differential equation method.
- Love wave propagation was analyzed for electrical open and short circuit conditions.
Main Results:
- The numerical method showed good agreement with analytical solutions, demonstrating its validity.
- Different gradient variations in mechanical and electrical properties led to opposing effects on wave propagation.
- The study determined dispersive curves and phase velocities, analyzing the impact of gradient coefficients on electromechanical coupling, stress, electrical potential, and mechanical displacement.
Conclusions:
- The stiffness matrix method provides a flexible and conceptually simple approach for analyzing ultrasonic guided waves in FGPMs.
- The findings are valuable for designing high-performance acoustic surface devices and accurately predicting Love wave propagation.
- Understanding gradient effects is key to optimizing FGPM-based acoustic applications.
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