Objective
Turbulent thermal convection plays an important role in a wide range of natural and industrial settings, from astrophysical and geophysical flows to process engineering. The paradigmatic representation of thermal convection is Rayleigh-Bénard (RB) flow in which a layer of fluid is heated from below and cooled from above. A major challenge is to determine the scaling relation of the Nusselt number (Nu), i.e. the dimensionless heat transport, with the Rayleigh number (Ra), which is the dimensionless temperature difference between the two plates, expressed as Nu∼Ra^γ. Theory predicts that the scaling exponent γ increases for extremely strong driving when the boundary layers transition from laminar to turbulent. Understanding the transition to this so-called ‘ultimate’ regime is crucial since an extrapolation of results from lab-scale experiments and simulations to astro- and geophysical phenomena becomes meaningless when the transition to this ‘ultimate’ state is not understood. So far, there is no consensus among experimental efforts for obtaining the ‘ultimate’ regime. We propose using direct numerical simulations (DNS) to gain a better understanding of the transition towards the ‘ultimate’ regime. While obtaining ‘ultimate’ thermal convection in simulations has been elusive, new developments make this feasible now. The benefit of simulations is that they allow full access to the flow and temperature fields, while all boundary conditions are set exactly and independently. This allows us to test various physical effects at full dynamic similarity. To trigger the excitation of the ‘ultimate’ regime at lower Ra than in standard small aspect ratio cells, we want to study the effect of roughness, additional shear, and large domains in which a stronger flow can develop than in confined small aspect ratio cells that are traditionally considered. The addition of rotation will be studied to disentangle the complicated effect of rotation on high Ra number thermal convection.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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.
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.
ERC-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2018-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
7522 NB Enschede
Netherlands
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