Mesh motion in fluid-structure interaction with deep operator networks
This work addresses mesh motion challenges in fluid-structure interaction simulations, but it appears incremental as it builds on existing methods with modest improvements.
The authors tackled mesh motion in fluid-structure interaction by proposing a deep operator network model, which achieved performance comparable to a biharmonic mesh motion model on benchmark problems and succeeded in a setting where the biharmonic method failed.
A mesh motion model based on deep operator networks is presented. The model is trained on and evaluated against a biharmonic mesh motion model on a fluid-structure interaction benchmark problem and further evaluated in a setting where biharmonic mesh motion fails. The performance of the proposed mesh motion model is comparable to the biharmonic mesh motion on the test problems.