Guided wave feature extraction based on deep learning with its laser ultrasonic detection

被引：0

作者：

Zhang C. ^{[1
]}

Wei Y. ^{[1
]}

Wang H. ^{[1
]}

Tao C. ^{[1
]}

Qiu J. ^{[1
]}

机构：

[1] State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing

来源：

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2022年 / 43卷 / 11期

关键词：

Convolutional neural network; Deep learning; Guided wave; Laser ultrasonic;

D O I：

10.19650/j.cnki.cjsi.J2210193

中图分类号：

学科分类号：

摘要：

To address the problems of the expensive computing cost for the wave field data processing and the difficulty for damage feature extraction in laser ultrasonic detection, a guided wave field analysis method based on deep learning is proposed. First, under the framework of VGG-Net, a residual network based on VGG11 is developed for extracting guided wave features from time-space wave field data. Then, taking the local wavenumber characteristic as the physical mechanism of the model, the problem of obtaining big data for training deep learning model can be solved by using the analytic formula of guided wave propagation. Therefore, the neural network can be obtained for extracting guided wave feature. Finally, using the experimental data in the plate structure with damage through laser ultrasonic system as test samples, the capability of guided wave feature extraction and damage identification using the proposed method is validated. The damage identification accuracy is above 67% and the shape of structural damage can be visualized. © 2022, Science Press. All right reserved.

引用

页码：242 / 251

页数：9

共 31 条

[1]

KALMS M, FOCKE O, KOPYLOW C V., Applications of laser ultrasound NDT methods on composite structures in aerospace industry, Proceedings of SPIE-Ninth International Symposium on Laser Metrology, 7155, pp. 1-11, (2008)

[2]

HU T P, GAO L M, YANG H N., Application of laser ultrasonic nondestructive testing technology in aeronautical composite structures, Aeronautical Manufacturing Technology, 61, 19, pp. 50-57, (2018)

[3]

JI H L, ZHANG CH, QIU J H., Applications of laser ultrasonic technology on composite structure testing, Aeronautical Manufacturing Technology, 15, pp. 16-22, (2017)

[4]

FENG W, YANG D X, ZHU X C, Et al., Simulation of laser-generated longitudinal and shear ultrasonic waves in a diamond anvil cell by the finite element method, Journal of Applied Physics, 111, 1, (2012)

[5]

ZHANG C, QIU J, JI H., Laser ultrasonic imaging for impact damage visualization in composite structure, Proceedings of the EWSHM-7th European Workshop on Structural Health Monitoring, (2014)

[6]

WU Y CH, QIU J H, ZHAGN CH, Et al., A method to improve the visibility of the damage-reflected wave, Chinese Journal of Lasers, 41, 3, pp. 149-156, (2014)

[7]

FLYNN E B, CHONG S Y, JARMER G J, Et al., Structural imaging through local wavenumber estimation of guided waves, NDT & E International, 59, pp. 1-10, (2013)

[8]

JEON J Y, GANG S, PARK G, Et al., Damage detection on composite structures with standing wave excitation and wavenumber analysis, Advanced Composite Materials, 26, pp. 53-65, (2017)

[9]

MICHAELS T E, MICHAELS J E, RUZZENE M., Frequency-wavenumber domain analysis of guided wavefields, Ultrasonics, 51, 4, pp. 452-466, (2011)

[10]

CHEN C C, LEE J R, PARK C Y, Et al., Laser ultrasonic anomalous wave propagation imaging method with adjacent wave subtraction: algorithm[J], Optics Laser Technology, 44, 2, pp. 428-440, (2012)

← 1 2 3 4 →