A Stochastic Lagrangian Model for Non-Gaussian Fluid Turbulence and Its Application to Describe Particle Dispersion in a Channel
Iliopoulos, Ilias
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/82450
Description
Title
A Stochastic Lagrangian Model for Non-Gaussian Fluid Turbulence and Its Application to Describe Particle Dispersion in a Channel
Author(s)
Iliopoulos, Ilias
Issue Date
1998
Doctoral Committee Chair(s)
Hanratty, Thomas J.
Department of Study
Chemical Engineering
Discipline
Chemical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Mechanical
Language
eng
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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
