Characterizing Hypervelocity Impact (HVI)-Induced Pitting Damage Using Active Guided Ultrasonic Waves: From Linear to
Menglong Liu1,2, Kai Wang3, Cliff J Lissenden4
1Institute of High Performance Computing, A*STAR, Singapore 138632, Singapore. liuml@ihpc.a-star.edu.sg.
Materials (Basel, Switzerland)
|August 5, 2017
Summary
Hypervelocity impacts cause pitting damage to spacecraft shielding. A new method uses guided ultrasonic waves, analyzing both linear and nonlinear signals, to detect and image this damage effectively.
Area of Science:
- Spacecraft engineering
- Materials science
- Non-destructive testing
Background:
- Hypervelocity impacts (HVIs) at over 1 km/s pose significant risks to spacecraft safety in low Earth orbit.
- Penetration of spacecraft shielding by HVIs creates complex pitting damage on inner layers, characterized by numerous craters and cracks.
- Quantitative evaluation of widespread, small-scale pitting damage is challenging with traditional methods.
Purpose of the Study:
- To develop a novel characterization strategy for quantitatively evaluating HVI-induced pitting damage on spacecraft inner shielding layers.
- To associate linear and nonlinear features of guided ultrasonic waves with different scales of damage.
- To create an imaging algorithm for visualizing HVI damage based on wave signal analysis.
Main Methods:
- Guided ultrasonic waves (GUWs) were employed, analyzing both linear (time-domain) and nonlinear (frequency-domain) signal features.
- Linear analysis focused on time-of-flight and energy dissipation for gross damage detection.
- Nonlinear analysis explored second harmonic generation for enhanced sensitivity to small-scale pitting damage.
Main Results:
- Numerical simulations and experimental validation demonstrated the accumulation of nonlinearity in GUWs traversing pitting damage.
- Linear and nonlinear damage indices were proposed based on observed signal changes.
- A path-based imaging algorithm successfully characterized HVI-induced pitting damage in terms of occurrence probability.
Conclusions:
- The developed strategy effectively characterizes HVI-induced pitting damage by integrating linear and nonlinear GUW features.
- Nonlinear wave phenomena offer superior sensitivity for detecting and evaluating small-scale damage.
- The proposed imaging algorithm provides a probabilistic map of damage, enhancing spacecraft structural health monitoring.
Keywords:
hypervelocity impactnonlinearspace structuresstructural health monitoringultrasonic guided wavesMore Related Videos
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