7 datasets found

The dataset used for testing the U-Net and U-Net-MG models for flow past a stationary cylinder, flow past two cylinders in out-of-phase motion, and flow past an oscillating foil.

The dataset is used to evaluate the performance of the machine learning models for computational fluid dynamics.

The dataset is used to train and evaluate the machine learning models for computational fluid dynamics.

Synthetic data set of the Burgers equation ut = νuxx − uux, with a delta peak initial condition u(x, t = 0) = Aδ(x) and domain t ∈ [0.1, 1.1], x ∈ [−3, 4].

The dataset for the experiments comes from two dimensional turbulent flow simulated using the Lattice Boltzmann Method. The dataset consists of 1500 images of velocity fields,...

The T106 turbine stator under periodic wake impact is a complex turbulent flow case.

The flow around a cylinder is a widely used test case for fluid dynamics, characterized by a Kármán vortex street.