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Application of damage detection methods using passive reconstruction of impulse response functions
J D Tippmann1, X Zhu2, F Lanza di Scalea2
1University of California, San Diego, 9500 Gilman Drive MC0085, La Jolla, CA 92093, USA jtippman@ucsd.edu.
Summary
This study presents two passive structural health monitoring (SHM) methods using ambient noise for damage detection in offshore wind turbines. These techniques leverage reconstructed impulse responses to identify structural changes and locate damage effectively.
Area of Science:
- Engineering
- Materials Science
- Physics
Background:
- Passive structural health monitoring (SHM) utilizes ambient noise for damage detection.
- Offshore wind turbines are ideal for passive SHM due to inherent aerodynamic and wave loading noise.
- Advances in noise cross-correlation and signal processing drive passive SHM research.
Purpose of the Study:
- To develop and validate passive SHM methods for damage detection and localization.
- To apply these methods to offshore wind turbine structures.
- To investigate damage indication using reconstructed impulse response functions.
Main Methods:
- Reconstruction of impulse response functions (Green's functions) from ambient noise.
- Damage detection via reciprocity analysis of impulse response functions, identifying nonlinearities.
- Damage localization using matched-field processing to pinpoint structural changes.
Main Results:
- Experimental validation on an aluminum plate and a wind turbine blade with simulated damage.
- Demonstrated ability to detect damage by analyzing changes in wave component similarity.
- Successful spatial localization of damage using the matched-field processing technique.
Conclusions:
- Passive SHM using ambient noise is a viable approach for structural monitoring.
- The presented methods effectively detect and localize damage in complex structures.
- This research contributes to enhanced safety and maintenance strategies for offshore wind turbines.
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