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Data Acquisition Protocol for Determining Embedded Sensitivity Functions
Published on: April 20, 2016
Structural health monitoring based on sensitivity vector fields and attractor morphing
Shih-Hsun Yin1, Bogdan I Epureanu
1Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA.
Summary
Structural damage in thermo-shielding panels can be detected by analyzing nonlinear dynamics. This attractor-based method reveals damage by observing changes in system movement, offering enhanced accuracy over linear theories.
Area of Science:
- Aeroelasticity
- Nonlinear Dynamics
- Structural Health Monitoring
Background:
- Current methods for detecting structural damage often rely on linear theories, which may lack sensitivity and accuracy.
- Thermo-shielding panels subjected to unsteady aerodynamic loads exhibit complex nonlinear aeroelastic behaviors.
- Understanding the dynamic response of such systems is crucial for ensuring structural integrity.
Purpose of the Study:
- To investigate the use of nonlinear dynamics, specifically attractor morphology, for detecting structural damage in a thermo-shielding panel.
- To compare the effectiveness of attractor-based damage detection with traditional linear approaches.
- To explore the application of this method to a classical Duffing oscillator as a benchmark.
Main Methods:
- Development of a nonlinear aeroelastic model for the thermo-shielding panel using third-order piston theory for unsteady supersonic flow.
- Analysis of the attractor morphology (deformation and movement) of the aeroelastic system and a Duffing oscillator under various damage scenarios.
- Simulation of damage by introducing local reductions in bending stiffness for the panel and variations in stiffness and damping for the oscillator.
Main Results:
- Attractor-based analysis successfully identified damage at various locations, extents, and levels for both the thermo-shielding panel and the Duffing oscillator.
- The study demonstrated that changes in attractor morphology correlate directly with specific types of structural damage.
- Nonlinear dynamic analysis showed higher sensitivity and accuracy in damage detection compared to linear methods.
Conclusions:
- Nonlinear dynamics and attractor morphology analysis provide a sensitive and accurate method for structural health monitoring of thermo-shielding panels.
- This approach offers a promising alternative to traditional linear-based damage detection techniques.
- The findings highlight the potential for enhanced accuracy and sensitivity in detecting structural damage through nonlinear dynamic analysis.
