
Summary: This paper presents a hybrid model (stochastic/deterministic) that describes the time evolution of chemical species in a homogeneous gas-phase combustion reaction process at constant volume. First, currently employed stochastic algorithms are briefly introduced. Next, the development of the hybrid algorithm is detailed. The model is then validated and tested using a reduced reaction mechanism for methane combustion. The effect of user-input performance parameters on stochastic behavior and computational time is studied. The computational time of the algorithm compared to the stochastic simulation algorithm is then compared, and finally, the effect of multiple runs on auto-ignition time is investigated.
Other numerical methods (thermodynamics), low-copy molecule modeling, Combustion, Chemically reacting flows, stochastic chemical kinetics
Other numerical methods (thermodynamics), low-copy molecule modeling, Combustion, Chemically reacting flows, stochastic chemical kinetics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
