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

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

URL: http://arxiv.org/abs/2105.02575v1
Date: Thu, 6 May 2021 10:35:54 GMT
Title: Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks
Authors: Lukas Harsch, Stefan Riedelbauch
Abstract summary: We propose a model to directly predict the steady-state flow field for a given geometry setup. The benefit of our model is a strong understanding of the global physical system, while being able to explore the local structure.
Score: 0.0
License: http://creativecommons.org/licenses/by/4.0/
Abstract: 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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