A non-Gaussian Approach to Heavy Particle Simulation in Turbulent Flow

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dc.contributor.authorFreygardsson, Thorsteinn
dc.contributor.departmentChalmers tekniska högskola / Institutionen för fysiksv
dc.contributor.departmentChalmers University of Technology / Department of Physicsen
dc.contributor.examinerGustafsson, Kristian
dc.contributor.supervisorGustafsson, Kristian
dc.contributor.supervisorMehlig, Bernhard
dc.date.accessioned2024-06-19T06:37:30Z
dc.date.available2024-06-19T06:37:30Z
dc.date.issued2024
dc.date.submitted
dc.description.abstractThe 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.
dc.identifier.coursecodeTIFX05
dc.identifier.urihttp://hdl.handle.net/20.500.12380/307927
dc.language.isoeng
dc.setspec.uppsokPhysicsChemistryMaths
dc.subjectTurbulence
dc.subjectStatistical Modelling
dc.subjectInertial Particles
dc.subjectPreferential Sampling
dc.subjectVoid Formation
dc.subjectFractal Clustering
dc.titleA non-Gaussian Approach to Heavy Particle Simulation in Turbulent Flow
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeEngineering mathematics and computational science (MPENM), MSc
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