Hung, Patrick and Shepherd, Joseph (2002) Reduction of Detailed Chemical Reaction Networks for Detonation. In: 12th Annual International Detonation Symposium, 11-16 August, 2002, n Diego, California. https://resolver.caltech.edu/CaltechCACR:2002.004
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Abstract
While a detailed mechanism represents the state-of-the-art of what is known about a reaction network, its direct implementation in a fully resolved CFD simulation is all but impossible (except for the simplest systems) with the computational power available today. This paper discusses the concept of Intrinsic Low Dimensional Manifold (ILDM), a technique that systematically reduces the complexity of detailed mechanisms. The method, originally devel-oped for combustion systems, has been successfully extended and applied to gaseous detonation simulations 2,3,4 . Unfortunately, while a one-dimensional ILDM is reasonably easy to compute, manifolds of higher dimensions are notoriously difficult. Moreover, the selec-tion of the manifold dimension has been largely arbitrary, with a one-dimensional ILDM being the most popular if for no other rea-son than that it is easiest to compute and store. In this paper, we will present a technique that enables us to quanti-tatively determine the dimensionality of the ILDM needed, as well as a robust and embarrassingly parallel algorithm for computing high-dimensional ILDMs. Finally, these techniques are demon-strated in the context of a one-dimensional ZND detonation with detailed chemistry.
Item Type: | Conference or Workshop Item (Paper) | ||||
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ORCID: |
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Additional Information: | Also available in the Caltech Center for Simulation of the Dynamic Response in Materials archive, cit-asci-tr137, at http://csdrm.caltech.edu/publications/index.html | ||||
Group: | Center for Advanced Computing Research, GALCIT | ||||
Record Number: | CaltechCACR:2002.004 | ||||
Persistent URL: | https://resolver.caltech.edu/CaltechCACR:2002.004 | ||||
Usage Policy: | You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format. | ||||
ID Code: | 28206 | ||||
Collection: | CaltechCACR | ||||
Deposited By: | Imported from CaltechCACR | ||||
Deposited On: | 07 Mar 2005 | ||||
Last Modified: | 03 Oct 2019 03:30 |
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