Regularized deconvolution method for turbulent combustion modeling

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• 作者：Qing Wang ^{wangqing@stanford.edu} ; Matthias Ihme ; ^{mihme@stanford.edu}
• 关键词：Large-eddy simulation ; Turbulent combustion ; Deconvolution ; Regularization ; Partially-premixed combustion
• 刊名：Combustion and Flame
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：176
• 期：Complete
• 页码：125-142
• 全文大小：4888 K
• 卷排序：176

文摘

The modeling of filtered chemical source terms in large-eddy simulation (LES) of turbulent reacting flows remains a challenge. Deconvolution methods are an attractive technique for representing these unclosed terms. With this technique, filtered scalars are reconstructed through deconvolution. The chemical source terms that are computed directly from the deconvolved scalars are filtered explicitly to represent the turbulence-chemistry interaction. However, the approximate deconvolution method (ADM), frequently employed for non-reacting flows, exhibits shortcomings for reacting scalars. This is because ADM does not ensure essential conservation and boundedness conditions. To address this issue, we propose a regularized deconvolution method (RDM) based on an optimization procedure. We conduct a priori and a posteriori analyses to examine RDM as a closure in LES. These investigations are performed in the context of explicit filtering. By showing that RDM is accurate and stable with respect to both the filter width and time, we conclude that the new deconvolution method shows promise in application to combustion LES.