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Title:A Stochastic Lagrangian Model for Non-Gaussian Fluid Turbulence and Its Application to Describe Particle Dispersion in a Channel
Author(s):Iliopoulos, Ilias
Doctoral Committee Chair(s):Hanratty, Thomas J.
Department / Program:Chemical Engineering
Discipline:Chemical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Mechanical
Abstract:Stochastic Lagrangian simulations are computationally efficient, since the equations to be solved are not partial differential equations as in the direct simulations. They are ideally suited for parallel computers. The stochastic model is about 120 times faster than the DNS on a single processor on the Convex C-3. Furthermore, the stochastic models can be used at higher Reynolds numbers and in more complex situations that is possible with a DNS.
Issue Date:1998
Type:Text
Language:English
Description:234 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.
URI:http://hdl.handle.net/2142/82450
Other Identifier(s):(MiAaPQ)AAI9904486
Date Available in IDEALS:2015-09-25
Date Deposited:1998


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