Project description
Advanced tool to stabilise random fluid turbulence
Over 10 % of global energy consumption is wasted on overcoming the chaotic friction of fluid turbulence inside pipelines, vehicles and transport systems. Controlling this aerodynamic chaos could drastically reduce energy losses. However, this requires knowing precisely when and where to modify the moving fluid. Given that turbulence is inherently random, traditional control adjustments often fail completely under real-world fluctuations. Supported by the Marie Skłodowska-Curie Actions programme, the RIACO project plans to develop a risk-resistant computational tool that models a large number of turbulent paths simultaneously. Utilising fast graphics processor programming, the proposed framework will identify the most reliable fluid adjustments that can minimise wall friction and maximise heat transfer despite underlying environmental uncertainties.
Objective
The ultimate goal of turbulence control is to reduce the big energy losses in human and fluid transportation due to turbulent montions, that currently account for more than 10% of the total. However, turbulence control is extremely challenging. First, one needs to determine the best moment/location (flow state) where to actuate. Second, one needs to identify the best way to actuate. This is limited by the capacity to measure a (or to actuate on) a flow, and also by the inherent uncertainty of turbulent flows: the higher the uncertainties are, the more unpredictable the control action becomes. Thus, there is a need to study the effect uncertainties have on the controllability of turbulent flows, and, in general, to design a tool capable of finding optimal robust actuations. The RIsk Aversion COntrol project aims at this. The project proposes a cost-efficient numerical methodology based on non-linear adjoint optimization and implemented in fast GPU codes; that allows for the thorough exploration of a vast range of robust actuations. In particular, the actuations are optimized so they are able to maximize/minimize a desired functional, for an ensemble of turbulent trajectories simultaneously. Two different applications will be numerically and experimentally studied: minimization of wall friction, and maximization of heat transfer in wall-bounded turbulent flows. As a result, the identification of potentially new robust actuations is expected. Additionally, for the first time, the limits of controllability of turbulent states: corresponding to the maximum magnitude of the uncertainties where effective robust controls can be identified, will be investigated. Overall RIACO will set-up the stage for the analysis of the link between uncertainty and control; motivate the identification of flow structures that are fundamentally related with controllability; and inspire the design of more efficient and robust actuators for turbulent flows.
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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28903 Getafe (Madrid)
Spain
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