北京航空航天大学主页平台系统 Rao Jing--Jing Rao-- Rao J, Yang F, Mo H, et al. Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion

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Rao J, Yang F, Mo H, et al. Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion

Release time:2023-03-17 Hits:

Journal:Journal of Sound and Vibration

Volume:542

Page Number:117418

Translation or Not:no

Date of Publication:2023-03-03

Included Journals:SCI

Pre One:Rao J, Saini A, Yang J, et al. Ultrasonic imaging of irregularly shaped notches based on elastic reverse time migration

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Gender:Female Education Level:博士研究生 Alma Mater:Nanyang Technological University Degree:哲学博士学位 Status:Employed School/Department:仪器科学与光电工程学院 Business Address:新主楼B1103 Contact Information:jingrao@buaa.edu.cn E-Mail:

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Rao J, Yang F, Mo H, et al. Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion