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University of Illinois at Urbana-Champaign
A Stochastic Lagrangian Model for Non-Gaussian Fluid Turbulence and Its Application to Describe Particle Dispersion in a Channel
Abstract
dc:descriptionStochastic 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Chemical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Iliopoulos, Ilias
- Contributors dc:contributor
-
- Hanratty, Thomas J.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9904486
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/82450