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Time Domain Strain/Stress Reconstruction Based on Empirical Mode Decomposition: Numerical Study and Experimental
Jingjing He1, Yibin Zhou2, Xuefei Guan3
1School of Reliability and System Engineering, Beihang University, Beijing 100191, China. hejingjing@buaa.edu.cn.
This study introduces a new method to predict structural strain and stress at critical points using data from remote sensors. The technique enhances structural health monitoring and preventive maintenance for various engineering applications.
Area of Science:
- Engineering
- Materials Science
- Mechanical Engineering
Background:
- Structural health monitoring (SHM) is crucial for preventive maintenance in industries.
- Existing methods face challenges in obtaining data from all critical structural locations.
Purpose of the Study:
- To develop a novel method for reconstructing strain/stress responses at critical structural locations.
- To enable accurate predictions based on strain measurements from remote, accessible locations.
Main Methods:
- Utilizing empirical mode decomposition to break down structural responses into modal responses.
- Deriving transformation equations via finite element modeling to extrapolate modal responses.
- Validating the method with numerical simulations and experimental data from an aluminum alloy cantilever beam.
Main Results:
- Successfully reconstructed strain/stress responses at remote locations.
- Demonstrated the method's effectiveness on a two-span beam and a simplified airfoil model.
- Experimental validation showed good accuracy compared to theoretical solutions.
Conclusions:
- The proposed method offers a reliable approach for informed strain/stress reconstruction in structural health monitoring.
- This technique can significantly improve the efficiency and accuracy of preventive maintenance strategies.
- The study provides a foundation for advanced SHM systems in aerospace and other industries.
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