2017
DOI: 10.48550/arxiv.1709.00096
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Chemical-Diffusive Models for Flame Acceleration and Transition to Detonation: Genetic Algorithm and Optimization Procedure

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“…Input parameters for a stoichiometric ethylene-oxygen mixture initially at 298 K and 1 atm, as detailed in [21], were used. A genetic algorithm optimization procedure [22] was used to identify the input parameters that most accurately reproduce the flame and detonation properties for the fuel-oxidizer mixture. This reaction model quantitatively reproduces flame acceleration, onset of turbulence, and DDT mechanisms seen in experiments [23,24] and has recently been used to study DDT [18,21,25] and layered detonations [26].…”
Section: Numerical and Physical Modelmentioning
confidence: 99%
“…Input parameters for a stoichiometric ethylene-oxygen mixture initially at 298 K and 1 atm, as detailed in [21], were used. A genetic algorithm optimization procedure [22] was used to identify the input parameters that most accurately reproduce the flame and detonation properties for the fuel-oxidizer mixture. This reaction model quantitatively reproduces flame acceleration, onset of turbulence, and DDT mechanisms seen in experiments [23,24] and has recently been used to study DDT [18,21,25] and layered detonations [26].…”
Section: Numerical and Physical Modelmentioning
confidence: 99%