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arxiv: 2105.02575 · v1 · pith:O5EHBDFD · submitted 2021-05-06 · physics.flu-dyn · cs.AI

Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks

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classification physics.flu-dyn cs.AI
keywords flowgraphdirectdomainmeshedmodelpredictionsetup
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We propose a model to directly predict the steady-state flow field for a given geometry setup. The setup is an Eulerian representation of the fluid flow as a meshed domain. We introduce a graph network architecture to process the mesh-space simulation as a graph. The benefit of our model is a strong understanding of the global physical system, while being able to explore the local structure. This is essential to perform direct prediction and is thus superior to other existing methods.

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