most citedInverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion

27 citations · 29 across the 2 of their papers we have counts for

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eess.SP2022★ 2 cited

Towards deep generation of guided wave representations for composite materials

Mahindra Rautela, J. Senthilnath, Armin Huber +1

Laminated composite materials are widely used in most fields of engineering. Wave propagation analysis plays an essential role in understanding the short-duration transient respons…

eess.SP2022★ 27 cited

Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion

Mahindra Rautela, Armin Huber, J. Senthilnath +1

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 s…