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COMPACT REPRESENTATION OF MULTI-MODAL TRANSITION FROM HIGH-FIDELITY DATASETS OF UNSTEADY FLOWS

Project description

New theoretical and experimental approaches to unravel key mechanisms behind unstable flow physics

Transition from laminar to turbulent flow significantly affects efficiency in wind turbines and aircraft wings but remains poorly understood owing to its complex interactions. With the support of the Marie Skłodowska-Curie Actions programme, the COMPOSE project will combine high-fidelity experiments and simulations to study the physics of these transitions. However, the resulting vast datasets will be hard to interpret and apply directly to practical models. To manage these immense data sets generated, COMPOSE will develop a data-driven framework to identify the key factors behind unstable flow structures. This should enable the development of accurate, reduced-order models essential for creating flow control strategies. These advancements could significantly improve efficiency in aerospace and energy systems, benefiting industries reliant on aerodynamic performance.

Objective

Laminar-to-turbulent transition, which critically affects efficiency-focused applications such as wind turbine blades and aircraft wings, remains poorly understood. These flows involve complex turbulent interactions (high turbulence levels, unsteady wakes, separated shear layers), which standard modeling techniques struggle to accurately capture.

This project addresses these challenges by leveraging high-fidelity experiments and numerical simulations to study transition flow physics. While these techniques offer unparalleled detail, the resulting large datasets are difficult to interpret and integrate due to the diverse flow conditions and geometries involved. As a result, the datasets are not immediately usable for developing low-order models and flow control strategies.

The project's goal is to create a compact representation of the complex transition scenario using a data-driven and theoretical framework. This methodology will reveal the driving effects behind the amplification of unstable coherent flow structures during transition. It will integrate three high-fidelity heterogeneous experimental and numerical datasets of turbomachinery flows at engine-relevant conditions. The COMPOSE project leverages these datasets to provide insights applicable across various fields where transition impacts performance.

The outcomes will not only deepen our understanding of laminar-to-turbulent transition but also enable the development of accurate reduced-order models. These models will be essential for creating flow control strategies to reduce the adverse effects of transition in aerodynamic components, such as turbomachinery blading, wind turbine blades, and aircraft wings. The project's impact could lead to significant efficiency improvements in these components, with broad implications for the aerospace and energy sectors.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

UNIVERSITA DEGLI STUDI DI GENOVA
Net EU contribution
€ 193 643,28
Address
VIA BALBI 5
16126 GENOVA
Italy
Region
Centro (IT) Lazio Roma
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Partners (1)