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Data Assimilated Computational Fluid Dynamics Algorithm for Combustion

机译:燃烧的数据同化计算流体动力学算法

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In this study, we focus on developing and understanding a multialgorithm that combines the assimilation algorithm, the computational fluid dynamics algorithm, and the experimental observation system, and applying it to solve a scalar convection-diffusion-reaction equation and a two-dimensional laminar flame propagation problem. The data assimilation technique is ensemble-based. The CFD numerical model is based on a fourth-order finite-volume method. This study is, perhaps, a one-of-a-kind early study on applying data assimilation to combustion. Results of the convection-diffusion-reaction problem and the two-dimensional flame problem demonstrate the validity of the data assimilated computational fluid dynamics algorithm for combustion. This study establishes a base framework for future investigations of multidimensional turbulent combustion, since they all involve three physical processes, namely, convection, diffusion, and reaction.
机译:在这项研究中,我们专注于开发和理解将同化算法,计算流体动力学算法和实验观测系统相结合的多元算法,并将其应用于求解标量对流扩散反应方程和二维层流火焰传播问题。数据同化技术是基于集成的。 CFD数值模型基于四阶有限体积方法。这项研究也许是将数据同化应用于燃烧的一种早期研究。对流扩散反应问题和二维火焰问题的结果证明了数据同化燃烧的计算流体动力学算法的有效性。这项研究为多维湍流燃烧的未来研究建立了基础框架,因为它们都涉及三个物理过程,即对流,扩散和反应。

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