Discovery Projects - Grant ID: DP140104402

Funded Activity Summary

Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent flows. Several well-characterised case study flows, of importance to human society, will be examined. Turbulent flow models will also be constructed by maximum-entropy and Bayesian methods directly from experimental data. The project will substantially enhance our ability to predict the behaviour of turbulent flows.

Funded Activity Details

Start Date: 01-01-2014

End Date: 30-04-2018

Funding Scheme: Discovery Projects

Funding Amount: $313,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Calculus of Variations, Systems Theory and Control Theory | Turbulent Flows | Interdisciplinary Engineering | Thermodynamics and Statistical Physics |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Engineering | Road Passenger Movements (excl. Public Transport) | Environmentally Sustainable Transport not elsewhere classified

Other Keywords

Calculus of Variations, Systems Theory and Control Theory | Environmentally Sustainable Transport not elsewhere classified | Expanding Knowledge in Engineering | Interdisciplinary Engineering | Road Passenger Movements (excl. Public Transport) | Thermodynamics and Statistical Physics | Turbulent Flows

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