ORALS
SESSION:
ModellingWedAM-R8
| Trovalusci International Symposium (17th Intl. Symp.
on Multiscale & Multiphysics Modelling of 'Complex' Material (MMCM17) ) |
| Wed. 30 Nov. 2022 / Room: Similan 1 | |
| Session Chairs: Fangsen Cui; Session Monitor: TBA |
11:55: [ModellingWedAM02] OS
A NEW METHOD TO DETERMINE ELASTIC PROPERTIES BY ULTRASONIC WAVES Yue
Hu
1 ; Lei
Zhang
2 ;
Fangsen
Cui1 ;
1Institute of High Performance Computing, A*STAR, Singapore, Singapore;
2Institute of Materials Research and Engineering, A*STAR, Singapore, Singapore;
Paper Id: 96
[Abstract] The determination of elastic constants of carbon fiber composites via the non-destructive testing method is an important input both for structural design, performance assessment and structural health monitoring. For the non-destructive ultrasonic wave based method, the determination of the elastic properties highly depends the accurate estimation of the arrival time of quasi-longitudinal and quasi-transverse waves. The conventional available methods estimate the arrival time by using the envelope approach, which is extremely sensitive to noise and prone to inaccuracy in practice. In this study, a new time localization method based on time-reassigned synchrosqueezing transform is proposed. The new method could reassign the time-frequency coefficients in the time direction based on the group delay operator. We demonstrate that this method can provide high estimation accuracy for the arrival time, which is beneficial for the determination of elastic constants. Furthermore, the experiment work is carried out to verify the effectiveness of the proposed method.
References:
[1]C. Chu, A. D. Degtyar, S. I. Rokhlin, On determination of orthotropic material moduli from ultrasonic velocity data in nonsymmetry planes. The Journal of the Acoustical Society of America, Vol. 95, pp. 3191-3203, 1994.
[2] D. He, H. Cao, S. Wang, et al., Time-reassigned synchrosqueezing transform: The algorithm and its applications in mechanical signal processing. Mechanical Systems and Signal Processing, Vol. 117, pp. 255-279, 2019.
