1 LES of Turbulent Flows: Lecture 10 (ME EN 7960-008) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.

Slides:



Advertisements
Similar presentations
Canopy Spectra and Dissipation John Finnigan CSIRO Atmospheric Research Canberra, Australia.
Advertisements

Continuity Equation. Continuity Equation Continuity Equation Net outflow in x direction.
Louisiana Tech University Ruston, LA Slide 1 Time Averaging Steven A. Jones BIEN 501 Monday, April 14, 2008.
Turbulent Models.  DNS – Direct Numerical Simulation ◦ Solve the equations exactly ◦ Possible with today’s supercomputers ◦ Upside – very accurate if.
1 LES of Turbulent Flows: Lecture 4 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
1 LES of Turbulent Flows: Lecture 4 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Department of Mechanical Engineering ME 322 – Mechanical Engineering Thermodynamics Lecture 19 Calculation of Entropy Changes.
1 LES of Turbulent Flows: Lecture 9 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
LES of Turbulent Flows: Lecture 10 (ME EN )
LES Continuity Equation Residual Stress Residual Stress Tensor Anisotropic residual stress tensor Residual kinetic energy Filtered pressure.
CHE/ME 109 Heat Transfer in Electronics
Introduction to Convection: Flow and Thermal Considerations
CE 230-Engineering Fluid Mechanics Lecture # 17 Reynolds transport equation Control volume equation.
LES of Turbulent Flows: Lecture 3 (ME EN )
Reynolds Method to Diagnosize Symptoms of Infected Flows.... P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Reynolds Averaged.
Lecture of : the Reynolds equations of turbulent motions JORDANIAN GERMAN WINTER ACCADMEY Prepared by: Eng. Mohammad Hamasha Jordan University of Science.
FUNDAMENTAL EQUATIONS, CONCEPTS AND IMPLEMENTATION
1 LES of Turbulent Flows: Lecture 1 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Conservation Laws for Continua
Introduction to Convection: Flow and Thermal Considerations
1 LES of Turbulent Flows: Lecture 1 Supplement (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
0 Local and nonlocal conditional strain rates along gradient trajectories from various scalar fields in turbulence Lipo Wang Institut für Technische Verbrennung.
1 LES of Turbulent Flows: Lecture 11 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
1 LES of Turbulent Flows: Lecture 14 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
1 LES of Turbulent Flows: Lecture 2 Supplement (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
1 LES of Turbulent Flows: Lecture 12 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Governing equations: Navier-Stokes equations, Two-dimensional shallow-water equations, Saint-Venant equations, compressible water hammer flow equations.
Reynolds-Averaged Navier-Stokes Equations -- RANS
1 LES of Turbulent Flows: Lecture 6 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Turbulent properties: - vary chaotically in time around a mean value - exhibit a wide, continuous range of scale variations - cascade energy from large.
1 LES of Turbulent Flows: Lecture 15 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
Yoon kichul Department of Mechanical Engineering Seoul National University Multi-scale Heat Conduction.
1 LES of Turbulent Flows: Lecture 16 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
1 Discretization of Fluid Models (Navier Stokes) Dr. Farzad Ismail School of Aerospace and Mechanical Engineering Universiti Sains Malaysia Nibong Tebal.
Chapter 6 Introduction to Forced Convection:
LES of Turbulent Flows: Lecture 2 (ME EN )
Dynamic subgrid-scale modeling in large- eddy simulation of turbulent flows with a stabilized finite element method Andrés E. Tejada-Martínez Thesis advisor:
Dr. Jason Roney Mechanical and Aerospace Engineering
Analogies among Mass, Heat, and Momentum Transfer
Quantification of the Infection & its Effect on Mean Fow.... P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Modeling of Turbulent.
1 LES of Turbulent Flows: Lecture 4 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
1 LES of Turbulent Flows: Lecture 7 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
LES of Turbulent Flows: Lecture 5 (ME EN )
Scales of Motion, Reynolds averaging September 22.
Heat release modeling FPVA-based model V. Terrapon and H. Pitsch 1 Stanford PSAAP Center - Working draft.
1 LES of Turbulent Flows: Lecture 2 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
AMS 691 Special Topics in Applied Mathematics Lecture 5 James Glimm Department of Applied Mathematics and Statistics, Stony Brook University Brookhaven.
1 LES of Turbulent Flows: Lecture 12 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
Basic concepts of heat transfer
1 LES of Turbulent Flows: Lecture 7 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Direct numerical simulation has to solve all the turbulence scales from the large eddies down to the smallest Kolmogorov scales. They are based on a three-dimensional.
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 6 Introduction to convection.
1 LES of Turbulent Flows: Lecture 9 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Avaraging Procedure. For an arbitrary quantity  the decomposition into a mean and fluctuating part can be written as.
Turbulent Fluid Flow daVinci [1510].
1 LES of Turbulent Flows: Lecture 13 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
LES of Turbulent Flows: Lecture 8 (ME EN )
Reynolds-Averaged Navier-Stokes Equations -- RANS
Introduction to Symmetry Analysis
LES of Turbulent Flows: Lecture 16 (ME EN )
Introduction to Fluid Mechanics
LES of Turbulent Flows: Lecture 8 (ME EN )
Ch 2 - Kinetic Theory reinisch_
Kinetic Theory.
Characteristics of Turbulence:
Kinetic Theory.
Turbulent Kinetic Energy (TKE)
5. Describing Flow CH EN 374: Fluid Mechanics.
12. Navier-Stokes Applications
Turbulent properties:
Presentation transcript:

1 LES of Turbulent Flows: Lecture 10 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011

2 LES filtered Equations for incompressible flow Mass: Momentum: Scalar: SFS stress: SFS flux: we’ve talked about variance (or energy) when discussing turbulence and filtering when we examined application of the LES filter at scale Δ we looked at the effect of the filter on the distribution of energy with scale. A natural way to extend our examination of scale separation and energy is to look at the evolution of the filtered variance or kinetic energy b a

3 The filtered kinetic energy equation filtered kinetic energy equation for incompressible flow -We can define the total filtered kinetic energy by: -We can decompose this in the standard way by: -The SFS kinetic energy (or residual kinetic energy) can be defined as: (see Pope pg. 585 or Piomelli et al., Phys Fluids A, 1991) -The resolved (filtered) kinetic energy is then given by: Resolved Kinetic energy SFS Kinetic energy

4 The filtered kinetic energy equation We can develop an equation for by multiplying equation on page 2 by : Applying the product rule to the terms in the squares: Using our definition of : b 0 (eqn a)

5 The filtered kinetic energy equation term : using squared equation and divide by 2 and multiplying by ν : term : Combining everything back together: “storage” of advection of pressure transport transport of viscous stress dissipation by viscous stress SFS dissipation transport of SFS stress Product rule Looks just like (without ν ) Uses symmetry of and tensor contraction

6 The SFS dissipation in the resolved kinetic energy equation is a sink of resolved kinetic energy (it is a source in the equation) and represents the transfer of energy from resolved SFSs. It is equal to: It is referred to as the SFS dissipation as an analogy to viscous dissipation (and in the inertial subrange = viscous dissipation). On average drains energy (transfers energy down to smaller scale) from the resolved scales. Instantaneously (locally) can be positive or negative. -When is negative (transfer from SFS  Resolved scales) it is typically termed backscatter -When is positive it is sometimes referred to as forward scatter. Transfer of energy between resolved and SFSs Resolved scales SGS scales π/Δ Forward scatter backscatter

7 Its informative to compare our resolved kinetic energy equation to the mean kinetic energy equation (derived in a similar manner, see Pope pg. 124; Stull 1988 ch. 5) For high-Re flow, with our filter in the inertial subrange: - The dominant sink for is Π while for it is (rate of dissipation of energy). For high-Re flow we therefore have: - Recall from K41, is proportional to the transfer of energy in the inertial subrange  Π will have a strong impact on energy transfer and the shape of the energy spectrum in LES. - Calculating the correct average Π is another necessary (but not sufficient) condition for an LES SFS model (to go with our N-S invariance properties from Lecture 7). Transfer of energy between resolved and SFSs