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Found 2 papers, 1 papers with code
Towards deep generation of guided wave representations for composite materials
The forward physics-based models are utilized to map from elastic properties space to wave propagation behavior in a laminated composite material.
Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion
In this work, ultrasonic guided waves and a dual-branch version of convolutional neural networks are used to solve two different but related inverse problems, i. e., finding layup sequence type and identifying material properties.
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