Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion
Author:
Affiliation:
1. Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India
2. Center for Lightweight Production Technology, German Aerospace Center (DLR), Augsburg, Germany
3. Institute for Infocomm Research, A*STAR, Singapore
Funder
Agency for Science, Technology and Research
Publisher
Informa UK Limited
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science,General Mathematics,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/15376494.2021.1982090
Reference55 articles.
1. Nondestructive Characterization of Composite Media
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3. Multiscale approach for identification of transverse isotropic carbon fibre properties and prediction of woven elastic properties using ultrasonic identification
4. Ply-orientation measurements in composites using structure-tensor analysis of volumetric ultrasonic data
5. Characterization of the orthotropic viscoelastic tensor of composites using the Ultrasonic Polar Scan
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