Predicting Flaw-Induced Resonance Spectrum Shift with Theoretical Perturbation Analysis
Abstract
Resonance inspection is an emerging non-destructive evaluation (NDE) technique which uses the resonance spectra differences between the good part population and the flawed parts to identify anomalous parts. It was previously established that finite-element (FE)-based modal analysis can be used to predict the resonance spectrum for an engineering scale part with relatively good accuracy. However, FE-based simulations can be time consuming in examining the spectrum shifts induced by all possible structural flaws. This paper aims at developing a computationally efficient perturbation technique to quantify the frequency shifts induced by small structural flaws, based on the FE simulated resonance spectrum for the perfect part. A generic automotive connecting rod is used as the example part for our study. The results demonstrate that the linear perturbation theory provides a very promising way in predicting frequency changes induced by small structural flaws. As the flaw size increases, the discrepancy between the perturbation analysis and the actual FE simulation results increases due to nonlinearity, yet the perturbation analysis is still able to predict the right trend in frequency shift.
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1093510
- Report Number(s):
- PNNL-SA-77956
- DOE Contract Number:
- AC05-76RL01830
- Resource Type:
- Journal Article
- Journal Name:
- Journal of Sound and Vibration, 332(22):5953-5964
- Additional Journal Information:
- Journal Name: Journal of Sound and Vibration, 332(22):5953-5964
- Country of Publication:
- United States
- Language:
- English
- Subject:
- Resonance Inspection; Acoustics; Finite Element; Modal Analysis; Perturbation
Citation Formats
Lai, Canhai, and Sun, Xin. Predicting Flaw-Induced Resonance Spectrum Shift with Theoretical Perturbation Analysis. United States: N. p., 2013.
Web. doi:10.1016/j.jsv.2013.05.024.
Lai, Canhai, & Sun, Xin. Predicting Flaw-Induced Resonance Spectrum Shift with Theoretical Perturbation Analysis. United States. https://doi.org/10.1016/j.jsv.2013.05.024
Lai, Canhai, and Sun, Xin. 2013.
"Predicting Flaw-Induced Resonance Spectrum Shift with Theoretical Perturbation Analysis". United States. https://doi.org/10.1016/j.jsv.2013.05.024.
@article{osti_1093510,
title = {Predicting Flaw-Induced Resonance Spectrum Shift with Theoretical Perturbation Analysis},
author = {Lai, Canhai and Sun, Xin},
abstractNote = {Resonance inspection is an emerging non-destructive evaluation (NDE) technique which uses the resonance spectra differences between the good part population and the flawed parts to identify anomalous parts. It was previously established that finite-element (FE)-based modal analysis can be used to predict the resonance spectrum for an engineering scale part with relatively good accuracy. However, FE-based simulations can be time consuming in examining the spectrum shifts induced by all possible structural flaws. This paper aims at developing a computationally efficient perturbation technique to quantify the frequency shifts induced by small structural flaws, based on the FE simulated resonance spectrum for the perfect part. A generic automotive connecting rod is used as the example part for our study. The results demonstrate that the linear perturbation theory provides a very promising way in predicting frequency changes induced by small structural flaws. As the flaw size increases, the discrepancy between the perturbation analysis and the actual FE simulation results increases due to nonlinearity, yet the perturbation analysis is still able to predict the right trend in frequency shift.},
doi = {10.1016/j.jsv.2013.05.024},
url = {https://www.osti.gov/biblio/1093510},
journal = {Journal of Sound and Vibration, 332(22):5953-5964},
number = ,
volume = ,
place = {United States},
year = {Mon Oct 28 00:00:00 EDT 2013},
month = {Mon Oct 28 00:00:00 EDT 2013}
}