Author: Niclas Jansson, KTH Understanding the complex physics of wall-bounded turbulent flows is of utmost importance, considering the presence of this type of flows in various engineering applications. To this end, the use of high-fidelity approaches such as DNS (Direct Numerical Simulation) and LES (Large Eddy Simulation) has proven to be advantageous. There are, however, at least two main challenges that these approaches have to deal with.
The first is the high computational cost imposed by the requirement of accurately resolving the near-wall region. As a result of the large growth rate of the cost with flow Reynolds (Re) numbers, scale-resolving approaches for many industrial applications are expected to be still out of reach over the future couple of decades, see . Despite this, in moderate range of Re-number, scale-resolving approaches can be successfully employed for complex flows, thanks to the development of the HPC technologies and availability of techniques such as AMR (adaptive mesh refinement)  for efficient computing.
The design of the car of the future requires going over the usual RANS approach, since it fails to predict with an acceptable prediction accuracy features like transitional flows, instabilities, noise gneration, combustion efficiency. This in turn requires exascale systems, to sustain more high-fidelity simulations techniques, like LES or DES. EXCELLERAT paves the way to this transition.
Author: Gabriel Staffelbach, CERFACS On June 11th, 2019 In Norway, a hydrogen refuelling station exploded. The whole hydrogen refueling station network had to be shut down. Toyota and Hyundai are both halting fuel cell sales in Norway. Elektrek – Hydrogen Station expoldes
Author: Janik Schüssler, SSC One part of EXCELLERAT’s vision is to provide the engineering community with easy access to relevant services and knowledge around high performance computing. The keyword here is ‘Access’.
Author: Veronika Scheuer, Fraunhofer SCAI A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will be able to deliver more precise simulations. This leads to considerably more data. Fraunhofer SCAI develops efficient data analysis methods for this purpose, which provide the engineer with detailed insights into the complex technical contexts. Continue reading “New analysis methods facilitate the evaluation of complex engineering data”