Searcharxiv⌕ Search

arXiv subjects

David Moxey

Publications and source records attributed to David Moxey.

20 records · Page 2Linked to original sources

Implicit Large Eddy Simulation of a wingtip vortex at $Re_c = 1.2\cdot 10^6$

In this article we present recent developments in numerical methods for performing a Large Eddy Simulation (LES) of the formation and evolution of a wingtip vortex. The development of these vortices in the near wake, in combination with the large Reynolds numbers present in these cases, make these types of test cases particularly challenging to investigate numerically. We first give an overview of the Spectral Vanishing Viscosity--implicit LES (SVV-iLES) solver that is used to perform the simulations, and highlight techniques that have been adopted to solve various numerical issues that arise when studying such cases. To demonstrate the method's viability, we present results from numerical simulations of flow over a NACA 0012 profile wingtip at $Re_c = 1.2\cdot 10^6$ and compare them against experimental data, which is to date the highest Reynolds number achieved for a LES that has been correlated with experiments for this test case. Our model correlates favorably with experiment, both for the characteristic jetting in the primary vortex and pressure distribution on the wing surface. The proposed method is of general interest for the modeling of transitioning vortex dominated flows over complex geometries.

physics.flu-dyn↗

Simplifying the Development, Use and Sustainability of HPC Software

Developing software to undertake complex, compute-intensive scientific processes requires a challenging combination of both specialist domain knowledge and software development skills to convert this knowledge into efficient code. As computational platforms become increasingly heterogeneous and newer types of platform such as Infrastructure-as-a-Service (IaaS) cloud computing become more widely accepted for HPC computations, scientists require more support from computer scientists and resource providers to develop efficient code and make optimal use of the resources available to them. As part of the libhpc stage 1 and 2 projects we are developing a framework to provide a richer means of job specification and efficient execution of complex scientific software on heterogeneous infrastructure. The use of such frameworks has implications for the sustainability of scientific software. In this paper we set out our developing understanding of these challenges based on work carried out in the libhpc project.

cs.DC↗