Geometric Model Reduction Driven by Numerical Simulation Accuracy

Vincent Vadez (1, 2) , François Brunetti (2) , Pierre Alliez (1)

1 TITANE - Geometric Modeling of 3D Environments
2 DOREA

When dealing with real-time simulation, radiative thermal computations have always been, and are still a challenge. Notably, computing view factors is very compute-intensive when the input 3D model is complex and exhibits many holes and occlusions. The task is even more difficult on complex geometries generated through topological optimization and on dense meshes required for finite element simulation. This paper focuses on geometric model reduction through mesh decimation. The decimation algorithm is made accurate to the radiative thermal simulation, in order to trade accuracy for computing times. More specifically, the input model is first decomposed into thermal nodes, then we estimate through radiative thermal simulation the sensitivity of decimating each thermal node against a maximum temperature tolerance. Such estimations are then utilized to render the entire mesh decimation process informed by the physical simulation. These estimations are relevant for predicting the amount of decimation applicable to each thermal node, given a user-defined maximum temperature tolerance.

Domaines: Informatique [cs]; Géométrie algorithmique [cs.CG]

Vincent Vadez, François Brunetti, Pierre Alliez. Geometric Model Reduction Driven by Numerical Simulation Accuracy. ICES 2021 - International Conference on Environmental Systems, Jul 2021, Lisbon, Portugal. ⟨hal-03278653⟩