In our new work to appear in SIAM Review later this year, we present the successful deployment of high-fidelity Large-Eddy Simulation (LES) technologies based on spectral/hp element methods (SEM) to an industry-relevant configuration. The simulation is carried out on a real automotive car, namely the Elemental Rp1 model (see figure 1). In the paper, we […]
Nektar++ on ARCHER2
The ARCHER2 national supercomputer is a world class advanced computing resource and is the successor to ARCHER. This guide is intended to provide basic instructions for compiling the Nektar++ stable release or master branch on the ARCHER2 system.
This blog highlights some research efforts aimed at simulating the wake passing effect in a low pressure turbine cascade, analysed over the entire operating range. The incoming disturbances modify the physical transition mechanism on the suction surface, giving rise to complex flow phenomena.
Speed comparison between Nektar++ solvers
There are various flow solvers built in Nektar++ that exploit different numerical approaches. This this article provides some results on the comparison of four different solver setups that are commonly used, based on two standard benchmark cases.
Fluid mixing with Nektar++
Can hydrodynamic instability be used for mixing? And at the same time can conduits be shaped such that hydraulic losses are reduced? We think that it is Yes to both.
Building and running Nektar++ in Parallel on Windows 10 with MPI
This post details how to undertake an MPI build of Nektar++ on Windows 10. Support has recently been added for building with MPI on Windows and a detailed explanation is provided of how to carry out the build and test process and run a sample simulation.
Formula One front wing simulation with Nektar++
Development of a new standard test case for automotive applications.
Spectral/hp element methods for turbomachinery
A T106A low pressure turbine vane was investigated at moderate regime (Re = 88450), exploring the convergence properties of the main flow statistics with the aim of developing a set of best practices to achieve DNS resolution.