Model simplification of chemical kinetic systems under uncertainty

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Computation for Design and Optimization Program.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2011

Author dc:creator

• Coles, Thomas Michael Kyte

Advisor dc:contributor.advisor

• Youssef M. Marzouk.

• Computation for Design and Optimization Program.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/65183

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/65183