Uncertainty quantification of reaction mechanisms accounting for correlations introduced by rate rules and fitted Arrhenius parameters
Abstract
We study correlations among uncertain Arrhenius rate parameters in a chemical model for hydrocarbon fuel-air combustion. We consider correlations induced by the use of rate rules for modeling reaction rate constants, as well as those resulting from fitting rate expressions to empirical measurements arriving at a joint probability density for all Arrhenius parameters. We focus on homogeneous ignition in a fuel-air mixture at constant-pressure. We also outline a general methodology for this analysis using polynomial chaos and Bayesian inference methods. Finally, we examine the uncertainties in both the Arrhenius parameters and in predicted ignition time, outlining the role of correlations, and considering both accuracy and computational efficiency.
- Authors:
-
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1395516
- Report Number(s):
- LLNL-JRNL-589012
Journal ID: ISSN 0010-2180; PII: S0010218013000230
- Grant/Contract Number:
- AC52-07NA27344; AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Combustion and Flame
- Additional Journal Information:
- Journal Volume: 160; Journal Issue: 9; Journal ID: ISSN 0010-2180
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILITZATION; 37 INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; Uncertainty quantification; Reaction mechanisms; Rate rules; Polynomial chaos; Bayesian inference
Citation Formats
Prager, Jens, Najm, Habib N., Sargsyan, Khachik, Safta, Cosmin, and Pitz, William J. Uncertainty quantification of reaction mechanisms accounting for correlations introduced by rate rules and fitted Arrhenius parameters. United States: N. p., 2013.
Web. doi:10.1016/j.combustflame.2013.01.008.
Prager, Jens, Najm, Habib N., Sargsyan, Khachik, Safta, Cosmin, & Pitz, William J. Uncertainty quantification of reaction mechanisms accounting for correlations introduced by rate rules and fitted Arrhenius parameters. United States. https://doi.org/10.1016/j.combustflame.2013.01.008
Prager, Jens, Najm, Habib N., Sargsyan, Khachik, Safta, Cosmin, and Pitz, William J. Sat .
"Uncertainty quantification of reaction mechanisms accounting for correlations introduced by rate rules and fitted Arrhenius parameters". United States. https://doi.org/10.1016/j.combustflame.2013.01.008. https://www.osti.gov/servlets/purl/1395516.
@article{osti_1395516,
title = {Uncertainty quantification of reaction mechanisms accounting for correlations introduced by rate rules and fitted Arrhenius parameters},
author = {Prager, Jens and Najm, Habib N. and Sargsyan, Khachik and Safta, Cosmin and Pitz, William J.},
abstractNote = {We study correlations among uncertain Arrhenius rate parameters in a chemical model for hydrocarbon fuel-air combustion. We consider correlations induced by the use of rate rules for modeling reaction rate constants, as well as those resulting from fitting rate expressions to empirical measurements arriving at a joint probability density for all Arrhenius parameters. We focus on homogeneous ignition in a fuel-air mixture at constant-pressure. We also outline a general methodology for this analysis using polynomial chaos and Bayesian inference methods. Finally, we examine the uncertainties in both the Arrhenius parameters and in predicted ignition time, outlining the role of correlations, and considering both accuracy and computational efficiency.},
doi = {10.1016/j.combustflame.2013.01.008},
journal = {Combustion and Flame},
number = 9,
volume = 160,
place = {United States},
year = {Sat Feb 23 00:00:00 EST 2013},
month = {Sat Feb 23 00:00:00 EST 2013}
}
Web of Science
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