Adaptive chemical model reduction

H. N. Najm, J. C. Lee, M. Valorani, D. A. Goussis, M. Frenklach

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We briefly review various chemical model reduction strategies with application in reacting flow computations. We focus on systematic methods that enable automated model reduction. We highlight the specific advantages of computational singular perturbation (CSP) analysis. We outline a novel implementation of CSP, with adaptive tabulation of the basis vectors, that enables fast identification of the reduced chemical model at any point in the chemical phase space, and efficient integration of the chemical system. We describe this implementation in the context of a particular model problem that exhibits stiffness typical of chemical kinetic systems.

Original languageBritish English
Pages (from-to)101-106
Number of pages6
JournalJournal of Physics: Conference Series
Volume16
Issue number1
DOIs
StatePublished - 1 Jan 2005

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