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LAGRANGIAN FLUID SIMULATION WITH CONTINUOUS CONVOLUTIONS

2022-08-11 06:15:00 zhSunw


WITH CONTINUOUS CONVOLUTIONS)

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motivation: Predicting particles affected by the environment through the networkcase offsets for a more realistic simulation.

CONTINUOUS CONVOLUTIONS

Traditional convolution definition

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Unstructured Particle Set Convolution Definition

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Use the mapping Λ(r) of a unit sphere to map the relative position within the sphere to the convolution kernel offset:
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N(x, R) is a set of points within a radius R of the center of the x point, a ensures smooth response of convolution in different particle neighborhoods:
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ψ is a scalar function for normalization. Since the change of particle density is an important feature of the simulated fluid, it is set to 1:
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The convolution has been packaged into the open3d library:
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LEARNING FLUID MECHANICS WITH CONVOLUTIONAL NETWORKS

Calculate motion state under fixed force: insert image description here
optionalinsert image description hereAs a dynamic particle feature, insert image description hereBoundary static particle feature.
Use network convolution to predict the offset of each particle's environmental impact at the current timestep:
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Update initial state for next timestep:
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NETWORK ARCHITECTURE

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Loss design:
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insert image description hereemphasize loss with few adjacent particles
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Experiments

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