A non-Gaussian Approach to Heavy Particle Simulation in Turbulent Flow
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Engineering mathematics and computational science (MPENM), MSc
Publicerad
2024
Författare
Freygardsson, Thorsteinn
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The behaviour of heavy particles suspended in turbulence is of vital importance in
many branches of science. It gives insight into droplet formation in clouds, plankton
distribution in the oceans and pollen carried by the wind, among other things.
Turbulent systems are highly dependent on the system parameters, making experimental
observation and classical simulations difficult. However, statistical models
of these systems can often give insight into the dynamics of suspended particles.
In this thesis such a statistical model is constructed, and the dynamics of inertial
particles in such a flow are analyzed. Our main focus is on how non-Gaussian flows
affect preferential sampling, and we will also look into void formation and fractal
clustering.
Beskrivning
Ämne/nyckelord
Turbulence , Statistical Modelling , Inertial Particles , Preferential Sampling , Void Formation , Fractal Clustering