Data for: Machine-Learning Based Error Prediction Approach for Coarse-Grid Computational Fluid Dynamics (CG-CFD)

Published: 17-09-2019| Version 1 | DOI: 10.17632/9y86jkf9dz.1
Contributor:
Botros Hanna

Description

Lid-driven cavity flow variables distribution in a cubic domain. Reynolds numbers range from 6000 :12000. Various grids and aspect ratios. These data are the inputs and the outputs for a regression model that predicts the local grid-induced error given the coarse-grid local fluid flow features.

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