Dynamic Chemical Model for H2/O2 Combustion Developed Through a Community Workflow
Elementary-reaction models for H2/O2 combustion were evaluated and optimized through a collaborative workflow, establishing accuracy and characterizing uncertainties. Quantitative findings were the optimized model, the importance of $\text{H}_2 + \text{O}_2(1\Delta) = \text{H} + \text{HO}_2$ in high...
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Zusammenfassung: | Elementary-reaction models for H2/O2 combustion were evaluated and optimized
through a collaborative workflow, establishing accuracy and characterizing
uncertainties. Quantitative findings were the optimized model, the importance
of $\text{H}_2 + \text{O}_2(1\Delta) = \text{H} + \text{HO}_2$ in high-pressure
flames, and the inconsistency of certain low-temperature shock-tube data. The
workflow described here is proposed to be even more important because the
approach and publicly available cyberinfrastructure allows future community
development of evolving improvements. The workflow steps applied here were to
develop an initial reaction set using Burke et al. [2012], Burke et al. [2013],
Sellevag et al. [2009], and Konnov [2015]; test it for thermodynamic and
kinetics consistency and plausibility against other sets in the literature;
assign estimated uncertainties where not stated in the sources; select key data
targets ("Quantities of Interest" or QOIs) from shock-tube and flame
experimental data; perform conventional sensitivity analyses of QOIs with
respect to Arrhenius pre-exponential factors; develop surrogate models for the
model-predicted QOI values; evaluate model-vs.-data consistency using
Bound-to-Bound Data Collaboration; and optimize model parameters within their
estimated uncertainty bounds (feasible set). Necessary data and software for
such analyses were developed and are publicly available through the PrIMe
cyberinfrastructure. This community workflow proved to be a means to reveal
inconsistencies, improvements, and uncertainty bounds. Even more significantly,
it is a means of revealing which parameters and experimental findings are
inconsistent with the larger body of work from the community and, thus, of
designing new experiments and parameter calculations. |
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DOI: | 10.48550/arxiv.1801.10093 |