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On Transducers Localization in Damage Detection by Wave Propagation Method
Adam Stawiarski1, Aleksander Muc2
1Institute of Machine Design, Cracow University of Technology, 31-155 Kraków, Poland. adam.stawiarski@mech.pk.edu.pl.
This study shows that the number and placement of piezoelectric (PZT) sensors are crucial for effective damage detection in thin structures using elastic wave propagation for structural health monitoring (SHM). Optimal sensor configuration enhances detection accuracy and system safety.
Area of Science:
- Structural Health Monitoring (SHM)
- Non-Destructive Testing (NDT)
- Materials Science
Background:
- Structural health monitoring (SHM) is essential for assessing the integrity of metallic and composite structures.
- Elastic wave propagation offers a promising method for damage detection in thin structures.
- Existing methods' effectiveness is highly dependent on sensor placement and quantity.
Purpose of the Study:
- To investigate the influence of sensor number and localization on damage detection accuracy using elastic wave propagation.
- To evaluate the feasibility of using piezoelectric (PZT) transducers for low-cost SHM systems.
- To establish requirements for effective SHM systems at different analysis levels.
Main Methods:
- Numerical and experimental analysis of elastic wave propagation.
- Systematic variation of piezoelectric (PZT) transducer number and localization.
- Correlation analysis between sensor configuration and damage detection capability.
Main Results:
- Demonstrated a clear relationship between sensor configuration and damage detection performance.
- Validated the effectiveness of PZT transducers in low-cost SHM systems.
- Showcased that complex data processing does not always improve damage detection efficiency.
Conclusions:
- Optimal sensor number and localization are critical for accurate damage detection in SHM.
- Appropriate formulation of SHM system requirements is necessary for improved detection effectiveness and structural safety.
- Simple, well-configured systems can be highly effective for damage detection.
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