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Prof Vassili Toropov
PhD, FRAeS, AFAIAA

 
 
 

Research Funding

On this page:

Previous Funded Research Projects

PoLaRBEAR

Funding source: Commission of the European Community
Start: 01-06-2014  /  End: 30-11-2016

SILOET II Programme

Funding source: Technology Strategy Board
Start: 01-01-2014  /  End: 30-09-2016

AMEDEO (Marie Curie ITN)

Funding source: Commission of the European Community
Start: 01-03-2014  /  End: 30-09-2016

Other Research Projects

Multi-fidelity Acoustic Modelling

Uncertainty of the low-order jet noise modelling often comes from a certain number of assumptions made about the turbulent flow statistics. For example, such assumptions may involve modelling of the fourth-order velocity correlation functions based on the statistical quantities obtainable from RANS such as turbulent kinetic energy, energy dissipation rate and the jet meanflow velocity and its gradients. Since the experimental flow field measurements available are typically limited, inevitably, the low-order models have to rely on the far-field data for defining the rest of the calibration coefficients. Typically, the model calibration is performed by the model developer, who then has to work a ‘human optimiser’ in the sense of selecting the model parameters which correspond to the best fit to the experimental data available. As the low-order model becomes more complex to incorporate more physics, such as variable correlation amplitudes and space scales depending on the source directivity as well as cusp points of the correlation curves and negative correlation loops observed experimentally, more coefficients are required. In turn, this makes the whole process of model development very complicated and can also lead to sub-optimal solutions. This is where the automatic optimisation algorithms can help the developers by not only freeing up their time but also providing the model coefficients which are optimal over a given set of jet noise data. To guide the process of low-order models development, the high fidelity models, such as those based on Large Eddy Simulations, can be used to more accurately constrain the rage of variation of the calibration parameters. Such work which combines the high- and low-fidelity for aeroacoustics of high-speed jet flows is proposed as a new research project in our group to be considered either for EC or Newton Fellowship funding application. Interested candidates at postdoctoral level are encouraged to contact us directly.