Akinlabi Emmanuel
Country
Nigeria
Education

Master degree in Mathematical sciences (2016).

Specialization: Bio-fluids and Numerical simulation

Institution: African Institute for Mathematical Sciences, Senegal

 

Bachelor degree in Mathematics (2014)

Specialization: Applied Mathematics

Institution: Ladoke Akintola University of Technology, Nigeria.

Curriculum Vitae
ESR10 - Sub-grid scale modelling of particle transport in Large Eddy Simulations of fluid flows
Objectives

The project is aimed at numerical modelling of transport and interactions of Stokes particles, such as cloud droplets and other aerosols (WP 3, 4). In high Reynolds number flows, say in a cumulus cloud, there is a gap of 2-4 decades between the Kolmogorov scale and the size of transported droplets. Therefore, even Direct Numerical Simulations of the flow require sub-grid scale (SGS) modelling to account for droplet transport and interactions within one grid cell. In DNS, although not straightforward, this modelling is conceptually tractable as the SGS flow is laminar and, essentially, linear. The SGS modelling of Stokes particles in LES is a major theoretical challenge as the SGS flow, unlike in the DNS, is complex and multi-scale. The project will concern theoretical and numerical modelling of the dispersed phase dynamics in LES simulations of the continuous phase flow (WP 3, 4, 5). We will focus on the correct modelling of collisions and coalenscence of Stokes particles in turbulent flows comparing SGS models in true LES with filtered DNS simulations (a priori LES analysis) as the reference results.

Expected Results
  • Improved numerical model of droplet coalescence in Large Eddy Simulations.
  • Qualitative understanding of the dependence of particle coalescence rate on the details of the SGS model.
Planned secondment(s)
  • MTF (Warsaw)          Month 12: practical aspects of LES simulations
  • ICL (London)             Month 24 - 26: numerical modelling of particle transport
  • POLITO (Torino)       Month 30: theoretical analysis of sub-grid modelling
  • TAU (Tel Aviv)           Month 36: theoretical analysis of particle aggregation  
Comments

I was born in Lagos – a popular city in the south-western part of Nigeria. I had my elementary, high school and bachelor degree education in Nigeria. After my bachelor degree, I got the Next Einstein Initiative Scholarship to pursue a Masters degree in Senegal. My first trip out of Africa was in 2016 when I got a research internship position at Fraunhofer Institute for Industrial Mathematics, Germany.

My background is in Applied Mathematics (Fluid Mechanics and Numerical Simulation) with a master thesis on the simulation of cerebrospinal fluid using finite pointset method.

In 2017, I made a remarkable transition in my research career, pursuing PhD degree in Atmospheric Physics and working as an early stage researcher in the COMPLETE project.   A new phase has just started...

LinkedIn Account

Email: emmanuel.akinlabi@fuw.edu.pl

Website

Publications

Fractal reconstruction of sub-grid scales for particle dispersion in large eddy simulation

Year
2019
Document type
Other
Authors
E. O. Akinlabi, M. Waclawczyk. S. P. Malinowski, J. P. Mellado
Source

17th European Turbulence Conference, 3 - 6 September 2019. Turin, Italy. 

Fractal sub-grid scale model for Large Eddy simulation of atmospheric turbulence: 2D a priori test

Year
2019
Document type
Article
Authors
E. O. Akinlabi, M. Waclawczyk. S. P. Malinowski
Source

Eleventh International Symposium on Turbulence and Shear Flow Phenomena (TSFP11). Grand Harbour Hotel, Southampton, UK. (30 July to 2 August 2019)

Akinlabi TSFP227.92 KB

Fractal Reconstruction of Sub-Grid Scales for Large Eddy Simulation

Year
2019
Document type
Article
Authors
E. Akinlabi, M. Waclawczyk, S. Malinowski, J.P. Mellado
Source

Flow, Turbulence and Combustion

Fractal Reconstruction of Sub-Grid Scales for LargeEddy Simulation

Year
2019
Document type
Article
Authors
Emmanuel O. Akinlabi, Marta Wacławczyk, Szymon P. Malinowski, Juan Pedro Mellado
Source

Flow, Turbulence and Combustion

they use the self-similarity property of turbulent motions to construct small-scale features which are not resolved in low-resolution numerical models. These small scales features play a crucial role in predicting complex processes such as cloud/rain formation, pollutant dispersion, sediment transport in water bodies, fibre suspension and spray combustion. We proposed a modified form of the fractal interpolation technique to construct these small-scale features.

Estimating Turbulence Kinetic Energy Dissipation Rates in the Numerically Simulated Stratocumulus Cloud-Top Mixing Layer: Evaluation of Different Methods

Year
2019
Document type
Article
Authors
E. O. Akinlabi, M. Waclawczyk. S. P. Malinowski, J. P. Mellado
Source

American Meteorological Society, AMS

Estimating Turbulence Kinetic Energy Dissipation Rates in the Numerically Simulated Stratocumulus Cloud-Top Mixing Layer: Evaluation of Different Methods

Year
2019
Document type
Article
Authors
Emmanuel O. Akinlabi, Marta Wacławczyk, Juan Pedro Mellado , Szymon P. Malinowski
Source

Journal of Atmospheric Science

The paper is about quantifying the amount of turbulence in the atmosphere. Turbulence contributes to many atmospheric phenomena, including atmospheric convection and clouds. Several methods have been proposed in the literature but they give over or under-estimated results especially when the atmosphere is inhomogeneous. The authors proposed a robust method for estimating turbulence without these limitations.

Fractal reconstruction of sub-grid scales for large eddy simulation of atmospheric turbulence

Year
2018
Document type
Proceeding
Authors
E. O. Akinlabi, M. Waclawczyk. S. P. Malinowski
Source

XXIII Fluid Mechanics Conference, KKMP2018. Czestochowa University of Technology, Poland. 8 to 12 September 2018.   

Estimating Turbulence Kinetic Energy Dissipation Rates in Atmospheric Flows: A Priori Study

Year
2018
Document type
Article
Authors
E. O. Akinlabi, M. Waclawczyk. S. P. Malinowski
Source

iTi Conference on Turbulence, iTi2018. Bertirolo, Italy. (3 - 7 September 2018)

iTi Akinlabi243.43 KB

Estimating turbulent kinetic energy dissipation rate and external intermittency from DNS of atmospheric stratified flows

Year
2018
Document type
Other
Authors
E. Akinlabi, M. Waclawczyk, J - P. Mellado, S. Malinowski
Source

EGU General Assembly 2018. 8 - 13 April 2018. Vienna, Austria.