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Development of kinetic model reduction framework and its application in realistic flow simulation
Descriptive
TypeOfResource
Text
TitleInfo
(ID = T-1)
Title
Development of kinetic model reduction framework and its application in realistic flow simulation
Identifier
ETD_2809
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056367
Language
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eng
Genre
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theses
Subject
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(authority = RUETD)
Topic
Chemical and Biochemical Engineering
Subject
(ID = SBJ-2);
(authority = ETD-LCSH)
Topic
Combustion--Research
Subject
(ID = SBJ-3);
(authority = ETD-LCSH)
Topic
Fluid dynamics
Abstract
(type = abstract)
The main objective of this research is to develop a kinetic model reduction framework that enables incorporation of detailed chemistry with realistic flow simulation. Comprehensive computational fluid dynamics tools and detailed kinetic mechanisms have been developed, and the fully integration of these two components has been recognized as an imperative necessity to represent realistic systems. However, integrating detailed chemistry in complex flow simulation is expensive and oftentimes prohibitive. Thus this work is driven by the premise to reduce the computational intensity introduced by including detailed chemistry in realistic flow simulation and meanwhile retain acceptable accuracy. The work in this dissertation is focused on the development of an efficient yet accurate kinetic reduction method that enables dynamic reduction within the context of reactive simulations. Excessive computational intensity introduced by the integration of detailed chemistry in reactive flow simulation stems from the large size of detailed kinetic models. The kinetic model reduction method proposed in this dissertation is to address the following two unique aspects: (i) effective reduction of model size; and (ii) efficient integration of the reduction method dynamically during reactive flow simulation without introducing significant overhead. The proposed method is based on an element flux analysis approach which provides an indicator to quantify element transitions between species. The element flux can be further implemented to retrieve useful information from the kinetic network and identify active species under given reaction conditions, which constitute the fundamental of kinetic analysis and redundancy identification in mechanism reduction. It is demonstrated in this research that element flux analysis gives rise to both an effective and efficient dynamic mechanism reduction method, as well as a useful kinetic analysis tool. The proposed approaches can be extended to multiple disciplines since a large number of applications in novel fuel development, engine design, and petro chemistry require the efficient modeling of reactive flows.
PhysicalDescription
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electronic resource
Extent
xi, 87 p. : ill.
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application/pdf
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text/xml
Note
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Ph.D.
Note
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Includes bibliographical references
Note
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Includes vita
Note
(type = statement of responsibility)
by Kaiyuan He
Name
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He
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Kaiyuan
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1986-
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author
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Kaiyuan He
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(type = family)
Androulakis
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(type = given)
Ioannis P
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chair
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Advisory Committee
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Ioannis P Androulakis
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(type = personal)
NamePart
(type = family)
Ierapetritou
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(type = given)
Marianthi G
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co-chair
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Advisory Committee
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Marianthi G Ierapetritou
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(type = family)
Shapley
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Nina
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internal member
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Advisory Committee
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Nina Shapley
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NamePart
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Farrell
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(type = given)
John T
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outside member
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Advisory Committee
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John T Farrell
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NamePart
Rutgers University
Role
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degree grantor
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NamePart
Graduate School - New Brunswick
Role
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(authority = RULIB)
school
OriginInfo
DateCreated
(qualifier = exact)
2010
DateOther
(qualifier = exact);
(type = degree)
2010-10
Place
PlaceTerm
(type = code)
xx
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
(type = doi)
doi:10.7282/T32B8XSP
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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(ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder
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(type = personal)
Name
FamilyName
He
GivenName
Kaiyuan
Role
Copyright Holder
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Type
Permission or license
DateTime
2010-08-15 14:14:01
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Name
Kaiyuan He
Affiliation
Rutgers University. Graduate School - New Brunswick
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Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical
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ETD
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application/pdf
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application/x-tar
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1187840
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