Computational Flow Physics and Modeling Lab at University of Wisconsin-Madison
Facility Overview
The Computational Flow Physics and Modeling Lab at the University of Wisconsin-Madison (PI: Prof. Jennifer Franck) offers computational models and analysis of Marine Energy turbines. Capabilities include CFD of rotating or oscillating turbine blades, with a particular expertise on cross-flow (vertical axis) turbine or oscillating foil turbines. Customized codes are available using open-source software. The lab can develop, run and analyze 2D and 3D fluid flow solvers including direct numerical simulation (DNS), large-eddy simulation (LES) and Unsteady Reynolds-Averaged Navier Stokes (URANS) solutions. A moving, or dynamic meshing enables multiple blades or multiple turbines to be simulated easily, and with arbitrary or non-uniform motion (e.g. non-constant rotation rate or pitching blades). Capabilities also include modeling of fluid-structure interactions (FSI), wake dynamics, turbine-to-turbine interactions, vortex dynamics, dynamic stall, effects of blockage or non-uniform flows, and more. The lab also has experience in utilizing machine learning or data-driven processes to analyze computational data and for reduced order modeling or predictive modeling of hydrodynamic systems.
The lab has ownership of over 700 cores and access to over 7,000 cores on the High-Performance Computing (HPC) cluster hosted by the Center for High-Throughput Computing (CHTC) at U. Wisconsin-Madison.
