Project Details

Description

To optimize their products, engineers use computational design tools. If fluid flow is part of the problem, then Computational Fluid Dynamics (CFD) comes into play. However, real-world fluid dynamics are complex, and computational models may not capture every nuance. CFD nowadays has a problem of scale that clashes with limited computational resources. This is even more critical when the
fluid is composed of immiscible phases (e.g. bubbles, drops or particles), or when the fluid mechanically interacts with structures, e.g.
inducing vibrations, erosion and other unwanted effects such as cavitation. The latter is known as Fluid-Structure Interaction (FSI)
which, in scientific terms, brings together the fields of structural and fluid mechanics. FSI is a prominent example of a coupled physics
problem. It is inseparably connected with other disciplines such as thermodynamics, materials science, chemical engineering, metallurgy, and more. For scientific and technical progress, new methods and knowledge are needed to understand, predict and control the interactions of fluid flow in technical domains. Therefore, COMBINE will create a new research and training agenda to address the following challenges.
Challenge 1 is to bridge the gaps between scientific disciplines to solve complex multi-physics problems through shared methods and techniques. Challenge 2 is to develop novel, fast, and robust measurement techniques to improve lab-scale analysis and realworld monitoring of FSI related problems. Challenge 3 is to improve the accuracy of FSI simulations and demands a multi-faceted approach using rigorous physics modeling, high-performance computing, and AI-driven data analysis. Challenge 4 is to develop novel materials and characterize their functionality early.
COMBINE unites a shared vision to significantly advance research and training to form a critical mass of students that can deliver tomorrows innovations and thrive in a highly competitive world.
Short titleCOMBINE
AcronymCOMBINE
StatusActive
Effective start/end date01.11.202531.10.2029

Collaborative partners

  • Johannes Kepler University Linz
  • Helmholtz-Zentrum Dresden-Rossendorf (Coordinator) (lead)
  • Ghent University
  • Commissariat à l'Énergie Atomique et aux Énergies Alternatives
  • Chalmers University of Technology
  • Kaunas University of Technology
  • International Centre for Numerical Methods in Engineering
  • fluiidd
  • University of Sarajevo
  • Technical University of Munich
  • Dresden University of Technology
  • Bialystok University of Technology
  • SWERIM AB

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 4 - Quality Education
    SDG 4 Quality Education
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 13 - Climate Action
    SDG 13 Climate Action

Fields of science

  • 202016 Electrical engineering
  • 202015 Electronics
  • 202012 Electrical measurement technology
  • 202027 Mechatronics
  • 103021 Optics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 211908 Energy research
  • 202024 Laser technology
  • 202036 Sensor systems
  • 203016 Measurement engineering
  • 202021 Industrial electronics

JKU Focus areas

  • Digital Transformation