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Application of dynamic global sensitivity analysis in complex systems
Descriptive
TitleInfo
Title
Application of dynamic global sensitivity analysis in complex systems
Name
(type = personal)
NamePart
(type = family)
Niotis
NamePart
(type = given)
Vasilios
NamePart
(type = date)
1985-
DisplayForm
VASILIOS NIOTIS
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Ierapetritou
NamePart
(type = given)
Marianthi G.
DisplayForm
Marianthi G. Ierapetritou
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Androulakis
NamePart
(type = given)
Ioannis P.
DisplayForm
Ioannis P. Androulakis
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
co-chair
Name
(type = personal)
NamePart
(type = family)
Berthiaume
NamePart
(type = given)
Francois
DisplayForm
Francois Berthiaume
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - New Brunswick
Role
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school
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Text
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theses
OriginInfo
DateCreated
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2012
DateOther
(qualifier = exact);
(type = degree)
2012-01
Place
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(type = code)
xx
Language
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(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
One of the major problems of complex mathematical models that are used to approximate systems and processes is the lack of precise parameter values. This often leads to a high degree of uncertainty in the simulated processes, which in most cases is an undesirable constraint. The uncertainty in parameter values can be addressed using sensitivity analysis, which is the study of how output variations can be apportioned to different sources of variation in the input parameters. The first part of this work consists of the application of time-varying global sensitivity analysis techniques in a mathematical model of human endotoxemia. In general, biological systems contain a large number of components that interact with each other, making the application of sensitivity analysis a valuable tool to decipher the most critical dynamics of the system. Through sensitivity analysis the parameters or components that have little effect on the model but are experimentally observed to be significant for the system, are identified. The results imply the need for better parameter estimation, after further experimentation, or model modifications that will capture the experimentally observed system dynamics. In the second part of this work, the complexity of how interactions between the different unit operations of a continuous tablet manufacturing flowsheet simulation affect the overall product quality is studied. Both quantitative and qualitative results reveal how different uncertain variables of a process dynamically affect an output through the use of time-varying global sensitivity indices. Thus the most important and critical parameters for a certain output are identified at different time points. Such an approach of global sensitivity analysis is not only used to draw significant conclusions about the interactions between specific uncertain inputs to outputs, but also points out necessary correlations that the model fails to capture. Through this work it is shown that sensitivity analysis should have an important part during the development and validation of a computational model in any scientific field. It allows the quantitative and qualitative investigation of variation and perturbation effects on the system behavior and correlation with experimental data.
Subject
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Topic
Biomedical Engineering
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_3754
PhysicalDescription
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electronic resource
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application/pdf
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text/xml
Extent
ix, 65 p. : ill.
Note
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M.S.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Vasilios Niotis
Subject
(authority = ETD-LCSH)
Topic
Global analysis (Mathematics)
Subject
(authority = ETD-LCSH)
Topic
Production management
Subject
(authority = ETD-LCSH)
Topic
Tablets (Medicine)
Subject
(authority = ETD-LCSH)
Topic
Pharmaceutical industry--Production control
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064154
RelatedItem
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
Location
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NjNbRU
Identifier
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doi:10.7282/T3P849WZ
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
NIOTIS
GivenName
VASILIOS
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2011-12-23 16:58:31
AssociatedEntity
Name
VASILIOS NIOTIS
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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