PyFR: Current Capabilities and Future Roadmap

Abstract

High-order numerical methods for unstructured grids combine the superior accuracy of high-order spectral or finite difference methods with the geometrical flexibility of low-order finite volume or finite element schemes. The Flux Reconstruction (FR) approach unifies various high-order schemes for unstructured grids within a single framework. Additionally, the FR approach exhibits a significant degree of element locality, and is thus able to run efficiently on modern many-core hardware platforms, such as graphics processing units. Consequently, FR offers a promising route to performing affordable, and hence industrially relevant, scale-resolving simulations of hitherto intractable unsteady flows within the vicinity of real-world engineering geometries. In this talk I will review the current capabilities of PyFR, a high-order accurate computational fluids dynamics solver based on the FR approach. I will also present scale-resolving simulation results from a range of test cases, and outline our roadmap for future development of the solver.