RObust simulation Systems exploiting Artificial Intelligence based turbulence models and high-fidelity algorithmS
ROSAS is a European Project dedicated to develop AI-augmented aerodynamic simulation tools to accelerate aircraft design and reduce costly physical testing.
To meet the European Union’s goals of aeronautical industry competitiveness and climate neutrality, ROSAS is developing AI-advanced Computational Fluid Dynamics (CFD) algorithms, key innovation in the rapid growth of digital transformation for design in aerospace industry. Traditional CFD processes require multiple costly and incremental refinements. By integrating Machine Learning algorithms trained on high-fidelity simulations and experimental data, ROSAS will provide an innovative computational framework for faster and more precise evaluations of next-generation aircraft configurations.
This project represents a key step in enabling the next generation of climate-neutral aircraft with improved operational reliability.
Project facts
ROSAS’s two main scientific and technical challenges
AI-driven high-order algorithms: Developing advanced AI methodologies and high-order numerical algorithms to optimize computational performance and align with next-generation High-Performance Computing (HPC) infrastructure.
ML-based turbulence modelling: Creating Machine Learning-driven turbulence models using statistical data and time-series results from high-fidelity simulations and experiments, improving the accuracy of complex aerodynamic predictions.
By addressing these challenges, ROSAS will help bridge the gap between academic research and industrial applications, ensuring that AI-augmented simulation tools become a fundamental component of future aircraft design strategies
Implementation
