New publication on physics-informed neural networks for contact mechanics

7 Mai 2024

Our new article titled "Solving forward and inverse problems of contact mechanics using physics-informed neural networks" has been published as an open access paper in Advanced Modeling and Simulation in Engineering Sciences.

Here, we demonstrate the innovative application of PINNs for contact mechanics using benchmark examples such as the contact between an elastic block and a rigid flat surface and the Hertzian contact problem.

Sahin, T., von Danwitz, M., Popp, A. (2024): Solving forward and inverse problems of contact mechanics using physics-informed neural networks, https://amses-journal.springeropen.com/articles/10.1186/s40323-024-00265-3

 

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