The ECA-NM hybrid optimization produces chemical-diffusive models that reproduce major flame and detonation properties from detailed chemistry while cutting global error by four orders of magnitude and computational cost by two orders relative to genetic algorithms.
Flame acceleration and deflagration -to-detonation transition in hydrogen- air mixture in a channel with an array of obstacles of different shapes
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An efficient method based on the evolutionary center algorithm for optimizing chemical-diffusive models for flame acceleration and DDT
The ECA-NM hybrid optimization produces chemical-diffusive models that reproduce major flame and detonation properties from detailed chemistry while cutting global error by four orders of magnitude and computational cost by two orders relative to genetic algorithms.