The central objective of my research is the fundamental analysis and manipulation (control) of transitional or turbulent flows to achieve a desired objective. More specifically, my work focuses on turbulence enhancement (for example to improve mixing) as well as suppression (for example for drag reduction). In my group, we are using both passive means (such as new blade designs), as well as active means obtained using pioneering optimisation algorithms. The work is computational in nature; we perform scale-resolving Direct Numerical Simulations (DNS) and Large Eddy Simulations (LES) and all the algorithms are developed inhouse. Please visit the group website for more details.
Our work is funded by a range of sponsors such as EPSRC, European Union, Leverhulme Trust, Centre of Doctoral Training in Fluid Dynamics across scales and the President's Scholarship Fund.
I graduated from the Dept. of Mechanical Engineering on the National Technical University of Athens in 1990 and received a PhD degree from the same university in 1996. I joined the Dept. of Mechanical Engineering of King's College London as a Lecturer in 1999, and moved to Imperial College, Dept. of Aeronautics, as Reader in July 2011.
Kantarakias KD, Papadakis G, 2023, Sensitivity-enhanced generalized polynomial chaos for efficient uncertainty quantification, Journal of Computational Physics, Vol:491, ISSN:0021-9991
Mikhaylov K, Rigopoulos S, Papadakis G, 2023, Decomposition of power number in a stirred tank and real time reconstruction of 3D large-scale flow structures from sparse pressure measurements, Chemical Engineering Science, Vol:279, ISSN:0009-2509
et al., 2023, Aneurysmal growth in type-B aortic dissection: assessing the impact of patient-specific inlet conditions on key haemodynamic indices, Journal of the Royal Society Interface, Vol:20, ISSN:1742-5662, Pages:1-16
Mikhaylov K, Rigopoulos S, Papadakis G, 2023, Three-dimensional characterisation of macro-instabilities in a turbulent stirred tank flow and reconstruction from sparse measurements using machine learning methods, Chemical Engineering Research and Design, Vol:196, ISSN:0263-8762, Pages:276-296
Yao H, Papadakis G, 2023, On the role of the laminar/turbulent interface in energy transfer between scales in bypass transition, Journal of Fluid Mechanics, Vol:960, ISSN:0022-1120