EXPERTISE

Models, Experiments and High Performance Computing for Turbine Mechanical Integrity and Structural Dynamics in Europe
Logo for EXPERTISE project.

The objective of this European training network for mechanical and computer science engineers is to develop advanced tools for analyzing fluid dynamics in large-scale models of turbine components and to eventually enable the virtual testing of an entire machine.

EXPERTISE is a European Training Network (ETN) that will contribute to train the next generation of mechanical and computer science engineers. The ultimate research objective of EXPERTISE is to develop advanced tools for the dynamics analysis of large-scale models of turbine components to pave the way towards the virtual testing of the entire machine. HLRS as an expert in the field of high performance computing (HPC) will lead the HPC activities in EXPERTISE. Also, HLRS will have a key role in the network by training all the researchers in modern HPC techniques and furthermore add its own research project, addressing the tremendous problem of handling the huge amounts of data that are produced during these full model simulations and bring HPC systems to their limits.

Project partners

  • Imperial College of Science Technology and Medicine London
  • Universität Stuttgart
  • University of Oxford
  • CRAY UK Limited
  • École Centrale de Lyon
  • Middle East Technical University
  • Vysoka Skola Banska
  • Technicka Univerzita Ostrava
  • Barcelona Supercomputing Center – Centro Nacional de Supercomputacion
  • Mavel AS
  • TU München
Runtime

01. March 2017 -
31. August 2021

Website
Funding

EC Horizon 2020 Program, Marie Sklodowska-Curie Actions

Project partners

  • Imperial College of Science Technology and Medicine London
  • Universität Stuttgart
  • University of Oxford
  • CRAY UK Limited
  • École Centrale de Lyon
  • Middle East Technical University
  • Vysoka Skola Banska
  • Technicka Univerzita Ostrava
  • Barcelona Supercomputing Center – Centro Nacional de Supercomputacion
  • Mavel AS
  • TU München

Funding