A Priori Assessment of an Iterative Deconvolution Method for LES Sub-grid Scale Variance Modelling

被引：0
|
作者：
Z. M. Nikolaou
L. Vervisch
机构：
[1] The Cyprus Institute,Computation
[2] INSA de Rouen Normandie,based Science and Technology Research Centre (CaSToRC)
来源：
Flow, Turbulence and Combustion | 2018年 / 101卷
关键词：
DNS; LES; Deconvolution; Variance modelling; Van Cittert;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An alternative method is proposed as a means for providing a closure for the sub-grid-scale variance, which is a key quantity in reacting flow simulations. The method is based on deconvolution, namely a constrained iterative deconvolution method combined with explicit filtering. The assessment of the method is conducted a priori using a direct numerical simulation database, and for the conditions tested in this study the method is found to provide quantitatively good estimates of both the un-filtered progress variable and its variance.
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页码：33 / 53
页数：20
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