Projektdetails
Beschreibung
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.
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.
| Kurztitel | COMBINE |
|---|---|
| Akronym | COMBINE |
| Status | Laufend |
| Tatsächliches Beginn-/Enddatum | 01.11.2025 → 31.10.2029 |
Projektbeteiligte
- Johannes Kepler Universität Linz
- Helmholtz-Zentrum Dresden-Rossendorf (Koordinator*in) (Leitung)
- Universität Gent
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives
- Chalmers University of Technology
- Technische Universität Kaunas
- International Centre for Numerical Methods in Engineering
- fluiidd
- University of Sarajevo
- Technische Universität München
- Technische Universität Dresden
- Bialystok University of Technology
- SWERIM AB
UN-Ziele für nachhaltige Entwicklung
2015 einigten sich UN-Mitgliedstaaten auf 17 globale Ziele für nachhaltige Entwicklung (Sustainable Development Goals, SDGs) zur Beendigung der Armut, zum Schutz des Planeten und zur Förderung des allgemeinen Wohlstands. Die Arbeit dieses Projekts leistet einen Beitrag zu folgendem(n) SDG(s):
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SDG 4 – Qualitativ hochwertige Bildung
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SDG 7 – Erschwingliche und saubere Energie
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SDG 9 – Industrie, Innovation und Infrastruktur
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SDG 13 – Klimaschutzmaßnahmen
Wissenschaftszweige
- 202016 Elektrotechnik
- 202015 Elektronik
- 202012 Elektrische Messtechnik
- 202027 Mechatronik
- 103021 Optik
- 202 Elektrotechnik, Elektronik, Informationstechnik
- 211908 Energieforschung
- 202024 Lasertechnik
- 202036 Sensorik
- 203016 Messtechnik
- 202021 Industrielle Elektronik
JKU-Schwerpunkte
- Digital Transformation