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

被引：14

作者：

Nikolaou, Z. M. ^{[1
]}

Vervisch, L. ^{[2
]}

机构：

[1] Cyprus Inst, Computat Based Sci & Technol Res Ctr CaSToRC, CY-2121 Nicosia, Cyprus

[2] Normandie Univ, CORIA CNRS, INSA Rouen Normandie, St Etienne Du Rouvray, France

来源：

FLOW TURBULENCE AND COMBUSTION | 2018年 / 101卷 / 01期

基金：

英国工程与自然科学研究理事会;

关键词：

DNS; LES; Deconvolution; Variance modelling; Van Cittert; LARGE-EDDY SIMULATION; APPROXIMATE DECONVOLUTION; JET FLAME; COMBUSTION; CHEMISTRY; DNS;

D O I：

10.1007/s10494-017-9884-0

中图分类号：

O414.1 [热力学];

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.

引用

页码：33 / 53

页数：21

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