Using Deep Learning to Identify the Elastic Properties of Composite Materials from Vibration Data-Reference-Cited by-同舟云学术

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Using Deep Learning to Identify the Elastic Properties of Composite Materials from Vibration Data

Published:2023-09-23 Issue: Volume:18 Page:188-193
ISSN:
Container-title:2023 6th International Conference on Information Communication and Signal Processing (ICICSP)
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Author:

Li Nan¹,Zhou Dingfu²,Lu Fan³,Bai Fan³,Wang Kaiqiang³,Wang Weiping¹,Hu Xiaoyan¹,Meng Liang⁴,Sui Fusheng³

Affiliation:

1. China Electronics Technology Group Cooperation,Information Science Academy,Beijing,China

2. Baidu Inc.,Beijing,China

3. Institute of Acoustics, Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research,Beijing,China

4. Northwestern Polytechnical University,State IJR Center of Aerospace Design and Additive Manufacturing,Xi'an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389815/10388491/10390735.pdf?arnumber=10390735

Reference25 articles.

1. Determination of dynamic parameters of polymer plates;Zelenev;SOVIET PHYSICS ACOUSTICS-USSR,1973

2. Determination of modal coupling in vibrating rectangular plates

3. Determination of Material Constants Using Experimental Free Vibration Analysis on Anisotropic Plates

4. Characterization of material parameters of composite plate specimens using optimization and experimental vibrational data

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