Data for: Machine-Learning Based Error Prediction Approach for Coarse-Grid Computational Fluid Dynamics (CG-CFD)
收藏Mendeley Data2024-06-25 更新2024-06-26 收录
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资源简介：
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.
创建时间：
2024-01-23
