2026-09-20T06:27:16Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/651832022-01-13T07:54:53Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Youssef M. Marzouk.
Coles, Thomas Michael Kyte
Massachusetts Institute of Technology. Computation for Design and Optimization Program.
Massachusetts Institute of Technology. Computation for Design and Optimization Program
2011-08-16T15:26:30Z
2011-08-16T15:26:30Z
2011
2011
http://hdl.handle.net/1721.1/65183
746080473
Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2011.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 103-108).
This thesis investigates the impact of uncertainty on the reduction and simplification of chemical kinetics mechanisms. Chemical kinetics simulations of complex fuels are very computationally expensive, especially when combined with transport, and so reduction or simplification must be used to make them more tractable. Existing approaches have been in an entirely deterministic setting, even though reaction rate parameters are generally highly uncertain. In this work, potential objectives under uncertainty are defined and then a number of studies are made in the hope of informing the development of a new uncertainty-aware simplification scheme. Modifications to an existing deterministic algorithm are made as a first step towards an appropriate new scheme.
by Thomas Michael Kyte Coles.
S.M.
108 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Computation for Design and Optimization Program.
Model simplification of chemical kinetic systems under uncertainty
Thesis
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