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Analysis of the errors associated with molecular transport parameters in combustion modeling and their effects on one-dimensional flame simulations

机译:燃烧建模中分子输送参数的误差及其对一维火焰模拟的影响

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Recent efforts in quantifying the uncertainty of chemical kinetic mechanisms have raised important questions in the combustion community regarding acceptable agreement between models and experiments. Often, the uncertainty in transport data is either not considered or not quantified when validating kinetic mechanisms. Although different methods have been implemented in which molecular parameters are used to calculate the coefficients of diffusion, viscosity, and thermal conductivity subsequently used in chemical kinetic models, the molecular parameters themselves are subject to experimental uncertainty and thus their effects on combustion simulations should be quantified. For this initial framework, we examine decades of experiments in the literature and use Markov Chain Monte Carlo methods to estimate uncertainties on the collision diameters and well depths of molecules frequently encountered in combustion simulations. We then propagate these uncertainties through simulations of laminar methane-air flames, establishing modeling uncertainties on flame speed due to transport.
机译:最近在量化化学动力学机制的不确定性方面的努力提出了关于模型和实验可接受协议的燃烧界的重要问题。通常,在验证动力学机制时,运输数据中的不确定性是不考虑的或未被定量的。尽管已经实施了不同的方法,其中用于计算随后用于化学动力学模型的扩散,粘度和导热率的分子参数,分子参数本身受到实验性的不确定性,因此应量化它们对燃烧模拟的影响。对于这一初始框架,我们研究了文献中的数十年的实验,并使用Markov Chain Monte Carlo方法来估算碰撞直径的不确定性,并且在燃烧模拟中经常遇到的分子深度。然后,我们通过层流甲烷 - 空气火焰模拟传播这些不确定性,由于运输而建立对火焰速度的模拟不确定性。

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