基于遗传算法的气体爆炸化学反应简化模型及其应用

Simplified Model of Gas Explosion Chemical Reaction Based on Genetic Algorithm and Its Application

  • 摘要: 针对火焰加速和爆燃转爆轰数值模拟中由于总包反应机理的化学反应刚性导致的时间步长小、计算效率低等问题,提出了一种通用的气体燃料爆炸化学反应模型简化方法. 建立了基于遗传算法的简化反应模型Arrhenius参数寻优设计方法,使简化反应能够得出与详细反应机理量值相近的火焰特征参数,最大误差不超过5%;在此基础上,将构建的简化反应模型与多组分反应流体Navier-Stokes方程进行耦合,采用大涡模拟方法实现气体燃料爆炸化学反应过程的高效精确模拟. 以开敞空间的氢气爆炸过程模拟对提出方法进行验证,仿真及实验对比结果表明,提出的方法能够以较高的效率和精度对实际物理过程进行近似,弥补详细反应机理仿真效率过低的不足,对各类气体爆炸化学反应过程具有较好的适应性.

     

    Abstract: To deal with the problems of small time step and low computational efficiency caused by the rigidity of the chemical reaction in the flame acceleration and deflagration-to-detonation numerical simulation, a general simplified method for the gas fuel explosion chemical reaction model was proposed. The Arrhenius parameters optimization design method of simplified reaction model based on genetic algorithm was established, so that the simplified reaction can obtain flame characteristic parameters similar to the detailed reaction mechanism and the maximum error is no more than 5%. On this basis, coupling the simplified reaction model with the multi-component reactive fluid Navier-Stokes equation, the large eddy simulation method was used to conduct the efficient and accurate simulation of the gas fuel explosion chemical reaction process. The proposed method is verified by the simulation of the hydrogen explosion process in an open space. The simulation and experimental comparison results show that the method proposed in this paper can approximate the actual physical process with high efficiency and accuracy, and make up for the low efficiency of detailed reaction mechanism simulation. It also has good adaptability to the chemical reaction process of various gas explosions.

     

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