{"title":"湍流不同小尺度拓扑下惰性标量的行为","authors":"C. Dopazo, Jesus Martin, Luis Valiño, B. Crespo","doi":"10.1615/tsfp1.190","DOIUrl":null,"url":null,"abstract":"The physical phenomena that determine the evolution and characteristics of a scalar in a turbulent flow are studied usin g direct numerical simulation (DNS) of both the scalar and th e velocity fields . The statistics of essential magnitudes relate d to the mixing, such as the scalar diffusion, the scalar dissipation or the variance is analysed for the different small scale dynamical structures in the flow. This study is conducted in the framework of the Topological Methodology introduced b y Chong et al (1990), which classifies the different small scale dynamics in terms of velocity gradient invariants . From thi s investigation, the scalar properties display different feature s for each of the four topologies considered. INTRODUCTION Scalar mixing in a turbulent flow is a complex process characterized by a wide range of time and length scales, over which a variety of physical mechanisms take place (Ottino , 1989; Dopazo, 1994) . The scalar evolution, driven by the turbulent velocity field, involves convection, random strainin g and rotation, and molecular transport . Scalar heterogeneitie s are smeared out by molecular diffusion enhanced by stretching and folding of isoscalar surfaces . The rational formulation of stochastic molecular mixin g modeis crucially depends on the ability to parameterize the scalar mixing mechanisms in terms of the scalar fluctuations , the scalar gradient vector, and knowable information pertaining both to the scalar and to the turbulence fields . It is , thus, logical searching for some correlation of the molecula r transport terms in the conservation equations of the scalar related magnitudes and the properties of the velocity field . Th e statistics of a passive scalar in turbulence has been widel y investigated in the past years using DNS (See, for example , Kerr (1985), Ashurst et al (1987) ; Ruetsch and Maxey (1991 ) or Pumir (1994), among others) . The aim of the present work is to investigate this statistics considering the different pattems or motions that appear in the small scales of a turbulent flow using the topological classification introduced by Chong et al (1990). Specifically, regions in the flow with high kineti c energy dissipation rates (dissipative motions) and regions o f high vorticity (focal motions) are of special interest here . THEORETICAL BACKGROUN D For an inert scalar C the mean value, , is a constant and the scalar fluctuations, e, obey the equation (Dopazo , 1994) where c is statistically homogeneous, D is the Fickian diffusion coefficient of c in the mixture and u is a zero-mea n statistically homogeneous solenoidal random velocity field . The transport equation for the scalar gradient fluctuation c, ; is 2 ac,i +uac, : = —c, j + DV c, i . at 2 ax; The dynamics of the scalar gradient is essential in the scala r field evolution. This vector is perpendicular to the loca l isoscalar surface, at each point in the flow ; the geometry and characteristics of these isosurfaces are determined by the spatial distributions of the scalar gradient vector (Ottino, 1989) . Equation (1) can be altematively rephrased as at +u.ax = DV 2 c2 2e, . where ec = Dc, ;c,i is the locallinstantaneous scalar fluctuation dissipation rate . Apart from the pressure term, the transport equation for c2 is analogous to that for the instantaneou s turbulent kinetic energy . ac + uJ ac = Dp2c. at ax; (1 )","PeriodicalId":222466,"journal":{"name":"Proceeding of First Symposium on Turbulence and Shear Flow Phenomena","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"BEHAVIOR OF AN INERT SCALAR UNDER THE DIFFERENT SMALL SCALE TOPOLOGIES OF A TURBULENT FLOW\",\"authors\":\"C. Dopazo, Jesus Martin, Luis Valiño, B. Crespo\",\"doi\":\"10.1615/tsfp1.190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The physical phenomena that determine the evolution and characteristics of a scalar in a turbulent flow are studied usin g direct numerical simulation (DNS) of both the scalar and th e velocity fields . The statistics of essential magnitudes relate d to the mixing, such as the scalar diffusion, the scalar dissipation or the variance is analysed for the different small scale dynamical structures in the flow. This study is conducted in the framework of the Topological Methodology introduced b y Chong et al (1990), which classifies the different small scale dynamics in terms of velocity gradient invariants . From thi s investigation, the scalar properties display different feature s for each of the four topologies considered. INTRODUCTION Scalar mixing in a turbulent flow is a complex process characterized by a wide range of time and length scales, over which a variety of physical mechanisms take place (Ottino , 1989; Dopazo, 1994) . The scalar evolution, driven by the turbulent velocity field, involves convection, random strainin g and rotation, and molecular transport . Scalar heterogeneitie s are smeared out by molecular diffusion enhanced by stretching and folding of isoscalar surfaces . The rational formulation of stochastic molecular mixin g modeis crucially depends on the ability to parameterize the scalar mixing mechanisms in terms of the scalar fluctuations , the scalar gradient vector, and knowable information pertaining both to the scalar and to the turbulence fields . It is , thus, logical searching for some correlation of the molecula r transport terms in the conservation equations of the scalar related magnitudes and the properties of the velocity field . Th e statistics of a passive scalar in turbulence has been widel y investigated in the past years using DNS (See, for example , Kerr (1985), Ashurst et al (1987) ; Ruetsch and Maxey (1991 ) or Pumir (1994), among others) . The aim of the present work is to investigate this statistics considering the different pattems or motions that appear in the small scales of a turbulent flow using the topological classification introduced by Chong et al (1990). Specifically, regions in the flow with high kineti c energy dissipation rates (dissipative motions) and regions o f high vorticity (focal motions) are of special interest here . THEORETICAL BACKGROUN D For an inert scalar C the mean value, , is a constant and the scalar fluctuations, e, obey the equation (Dopazo , 1994) where c is statistically homogeneous, D is the Fickian diffusion coefficient of c in the mixture and u is a zero-mea n statistically homogeneous solenoidal random velocity field . The transport equation for the scalar gradient fluctuation c, ; is 2 ac,i +uac, : = —c, j + DV c, i . at 2 ax; The dynamics of the scalar gradient is essential in the scala r field evolution. This vector is perpendicular to the loca l isoscalar surface, at each point in the flow ; the geometry and characteristics of these isosurfaces are determined by the spatial distributions of the scalar gradient vector (Ottino, 1989) . Equation (1) can be altematively rephrased as at +u.ax = DV 2 c2 2e, . where ec = Dc, ;c,i is the locallinstantaneous scalar fluctuation dissipation rate . Apart from the pressure term, the transport equation for c2 is analogous to that for the instantaneou s turbulent kinetic energy . ac + uJ ac = Dp2c. at ax; (1 )\",\"PeriodicalId\":222466,\"journal\":{\"name\":\"Proceeding of First Symposium on Turbulence and Shear Flow Phenomena\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceeding of First Symposium on Turbulence and Shear Flow Phenomena\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1615/tsfp1.190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of First Symposium on Turbulence and Shear Flow Phenomena","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1615/tsfp1.190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
采用速度场和标量场的直接数值模拟方法,研究了决定标量在湍流中演化和特征的物理现象。对流动中不同小尺度动力结构的标量扩散、标量耗散或方差等与混合有关的基本量进行了统计分析。本研究是在Chong等人(1990)引入的拓扑方法论框架下进行的,该方法论根据速度梯度不变量对不同的小尺度动力学进行分类。从这项研究中可以看出,对于所考虑的四种拓扑,标量属性显示了不同的特征。湍流中的标量混合是一个复杂的过程,具有广泛的时间尺度和长度尺度,在此范围内发生各种物理机制(Ottino, 1989;Dopazo, 1994)。在湍流速度场的驱动下,标量演化涉及对流、随机应变和旋转以及分子输运。等标量表面的拉伸和折叠增强了分子扩散,从而抹去了标量非均质性。随机分子混合模型的合理表述关键取决于标量混合机制的参数化能力,包括标量波动、标量梯度矢量以及与标量和湍流场相关的已知信息。因此,在标量相关大小的守恒方程和速度场的性质中寻找分子输运项之间的某种关联是合乎逻辑的。在过去的几年中,使用DNS对湍流中被动标量的统计进行了广泛的研究(例如,参见Kerr (1985), Ashurst等人(1987);Ruetsch和Maxey(1991)或Pumir(1994)等等。本研究的目的是利用Chong等人(1990)引入的拓扑分类,考虑到湍流小尺度中出现的不同模式或运动,来研究这一统计数据。具体来说,在流动中具有高动能耗散率的区域(耗散运动)和高涡度的区域(焦点运动)在这里是特别感兴趣的。对于惰性标量C,其平均值为常数,标量波动e服从(Dopazo, 1994)式,其中C是统计均匀的,D是C在混合物中的费氏扩散系数,u是统计均匀的螺线形随机速度场的零均值。标量梯度涨落c的输运方程,;是2ac,i +uac,: = -c, j + DV c,i。在2点;标量梯度的动力学在标量场演化中是必不可少的。这个向量垂直于流中的每一点的局部等标量表面;这些等值面的几何形状和特征是由标量梯度向量的空间分布决定的(Ottino, 1989)。式(1)可替换为at +u。ax = DV 2c2 2e。式中ec = Dc,;c,i为局部瞬时标量波动耗散率。除了压力项,c2的输运方程类似于瞬时湍流动能的输运方程。ac + uJ ac = Dp2c。在斧头;(1)
BEHAVIOR OF AN INERT SCALAR UNDER THE DIFFERENT SMALL SCALE TOPOLOGIES OF A TURBULENT FLOW
The physical phenomena that determine the evolution and characteristics of a scalar in a turbulent flow are studied usin g direct numerical simulation (DNS) of both the scalar and th e velocity fields . The statistics of essential magnitudes relate d to the mixing, such as the scalar diffusion, the scalar dissipation or the variance is analysed for the different small scale dynamical structures in the flow. This study is conducted in the framework of the Topological Methodology introduced b y Chong et al (1990), which classifies the different small scale dynamics in terms of velocity gradient invariants . From thi s investigation, the scalar properties display different feature s for each of the four topologies considered. INTRODUCTION Scalar mixing in a turbulent flow is a complex process characterized by a wide range of time and length scales, over which a variety of physical mechanisms take place (Ottino , 1989; Dopazo, 1994) . The scalar evolution, driven by the turbulent velocity field, involves convection, random strainin g and rotation, and molecular transport . Scalar heterogeneitie s are smeared out by molecular diffusion enhanced by stretching and folding of isoscalar surfaces . The rational formulation of stochastic molecular mixin g modeis crucially depends on the ability to parameterize the scalar mixing mechanisms in terms of the scalar fluctuations , the scalar gradient vector, and knowable information pertaining both to the scalar and to the turbulence fields . It is , thus, logical searching for some correlation of the molecula r transport terms in the conservation equations of the scalar related magnitudes and the properties of the velocity field . Th e statistics of a passive scalar in turbulence has been widel y investigated in the past years using DNS (See, for example , Kerr (1985), Ashurst et al (1987) ; Ruetsch and Maxey (1991 ) or Pumir (1994), among others) . The aim of the present work is to investigate this statistics considering the different pattems or motions that appear in the small scales of a turbulent flow using the topological classification introduced by Chong et al (1990). Specifically, regions in the flow with high kineti c energy dissipation rates (dissipative motions) and regions o f high vorticity (focal motions) are of special interest here . THEORETICAL BACKGROUN D For an inert scalar C the mean value, , is a constant and the scalar fluctuations, e, obey the equation (Dopazo , 1994) where c is statistically homogeneous, D is the Fickian diffusion coefficient of c in the mixture and u is a zero-mea n statistically homogeneous solenoidal random velocity field . The transport equation for the scalar gradient fluctuation c, ; is 2 ac,i +uac, : = —c, j + DV c, i . at 2 ax; The dynamics of the scalar gradient is essential in the scala r field evolution. This vector is perpendicular to the loca l isoscalar surface, at each point in the flow ; the geometry and characteristics of these isosurfaces are determined by the spatial distributions of the scalar gradient vector (Ottino, 1989) . Equation (1) can be altematively rephrased as at +u.ax = DV 2 c2 2e, . where ec = Dc, ;c,i is the locallinstantaneous scalar fluctuation dissipation rate . Apart from the pressure term, the transport equation for c2 is analogous to that for the instantaneou s turbulent kinetic energy . ac + uJ ac = Dp2c. at ax; (1 )