SOURCE-LINKED INTELLIGENCE

RObust simulation Systems exploiting AI based turbulence models and hight-fidelity algorithmS

CORDIS · observation · Publication date unknown

nautical industry competitiveness and climate-neutrality, highly advanced design technologies are needed to allow fast and reliable evaluations of innovative configurations. ROSAS aims at exploiting Artificial Intelligence (AI)/Machine Learning (ML), coupled with recent advances in Computational Fluid Dynamics (CFD) technology and the underlying turbulence modelling to reduce expensive and time-consuming physical testing and drastically accelerate the whole design optimization process. Partners will build a methodology based on defining test cases, targeting the key flow problems encountered in industrial applications and reproducing them precisely in a controlled environment via Hi-Fi simulations or experiments. The results will be gathered in a database which will serve the development and testing of novel data-driven methodologies (AI-ML) and mesh generation algorithms. Improved turbulence models, including multi-fidelity surrogate models with advanced verification and validation process, will be created with modifications based on new theoretical considerations and AI-ML-based m

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recordType

award

status

SIGNED

region

EU

value

4630603.46

unit

EUR