Search Results for author: Seok Su Sohn

Found 1 papers, 1 papers with code

Predicting failure characteristics of structural materials via deep learning based on nondestructive void topology

1 code implementation17 May 2022 Leslie Ching Ow Tiong, Gunjick Lee, Seok Su Sohn, Donghun Kim

The combined PH and DML processing of 3D X-CT data is our unique approach enabling reliable failure predictions at the time of material examination based on void topology progressions, and the method can be extended to various nondestructive failure tests for practical use.

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