Book contents
- Coarse Grained Simulation and Turbulent Mixing
- Coarse Grained Simulation and Turbulent Mixing
- Copyright page
- Dedication
- Contents
- Contributors
- Preface
- Prologue
- Part I Fundamentals
- 1 Proof of Concept
- 2 A Minimum Turbulence State for Coarse Grained Simulation
- 3 Finite Scale Theory
- 4 Material Conservation of Passive Scalar Mixing in Finite Scale Navier Stokes Fluid Turbulence
- Part II Challenges
- Part III Complex Mixing Consequences
- Index
- Plate section
- References
1 - Proof of Concept
Enslaved Turbulent Mixing
from Part I - Fundamentals
Published online by Cambridge University Press: 05 June 2016
Edited by
Book contents
- Coarse Grained Simulation and Turbulent Mixing
- Coarse Grained Simulation and Turbulent Mixing
- Copyright page
- Dedication
- Contents
- Contributors
- Preface
- Prologue
- Part I Fundamentals
- 1 Proof of Concept
- 2 A Minimum Turbulence State for Coarse Grained Simulation
- 3 Finite Scale Theory
- 4 Material Conservation of Passive Scalar Mixing in Finite Scale Navier Stokes Fluid Turbulence
- Part II Challenges
- Part III Complex Mixing Consequences
- Index
- Plate section
- References
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Coarse Grained Simulation and Turbulent Mixing , pp. 15 - 29Publisher: Cambridge University PressPrint publication year: 2016
References
Grinstein, F.F., Margolin, L.G., and Rider, W.J. 2010, Implicit Large Eddy Simulation: Computing Turbulent Flow Dynamics, 2nd printing, Cambridge University Press.Google Scholar
Wachtor, A.J., Grinstein, F.F., DeVore, C.R., Ristorcelli, J.R., and Margolin, L.G. 2013, “Implicit large-eddy simulation of passive scalar mixing in statistically stationary isotropic turbulence,” Phys. Fluids, 25(2), 1–19.CrossRefGoogle Scholar
Overholt, M.R. and Pope, S.B. 1996, “Direct numerical simulation of a passive scalar with imposed mean gradient in isotropic turbulence,” Phys. Fluids, 8(11), 3128–3148.CrossRefGoogle Scholar
Pullin, D.I. 2000, “A vortex-based model for the subgrid flux of a passive scalar,” Phys. Fluids, 12(9), 2311–2319.CrossRefGoogle Scholar
Dowling, D.R. and Dimotakis, P.E. 1990, “Similarity of concentration field of gas-phase turbulent jets,” J. Fluid Mech., 218, 109–141.CrossRefGoogle Scholar
Ristorcelli, J.R. 2006, “Passive scalar mixing: Analytic study of time scale ratio, variance, and mix rate,” Phys. Fluids, 18(7), 1–17.CrossRefGoogle Scholar
Gotoh, T., Watanabe, T., and Suzuki, Y. 2011, “Universality and anisotropy in passive scalar fluctuations in turbulence with uniform mean gradient,” J. Turb., 12(48), 1–27.CrossRefGoogle Scholar
Grinstein, F.F. 2010, “Vortex dynamics and transition to turbulence in free shear flows,” ch. 8 in Implicit Large Eddy Simulation: Computing Turbulent Flow Dynamics, 2nd printing, Cambridge University Press.Google Scholar
Fureby, C. and Grinstein, F.F. 1999, “Monotonically integrated large eddy simulation of free shear flows,” AIAA Journal, 37(5), 544–556.CrossRefGoogle Scholar
Porter, D.H., Woodward, P.R., and Pouquet, A. 1998, “Inertial range structures in decaying turbulent flows,” Phys. of Fluids 10, 237–245.CrossRefGoogle Scholar
Fureby, C. and Grinstein, F.F. 2002, “Large eddy simulation of high Reynolds-number free and wall bounded flows,” J. Comput. Phys., 181, 68.CrossRefGoogle Scholar
Domaradzki, J.A., Xiao, Z., and Smolarkiewicz, P. 2003, “Effective eddy viscosities in implicit large eddy simulations of turbulent flows,” Phys. Fluids, 15, 3890–3893.CrossRefGoogle Scholar
Margolin, L.G., Rider, W.J., and Grinstein, F.F. 2006, “Modeling turbulent flow with implicit LES,” Journal of Turbulence, 7, N15, 1–27.CrossRefGoogle Scholar
Thornber, B., Mosedale, A., and Drikakis, D. 2007, “On the implicit large eddy simulations of homogeneous decaying turbulence,” Journal of Computational Physics, 226, 1902–1929.CrossRefGoogle Scholar
Garnier, E., Mossi, M., Sagaut, P., Comte, P., and Deville, M. 1999, “On the use of shock-capturing schemes for large eddy simulation,” J. Comput. Phys. 153, 273–311.CrossRefGoogle Scholar
Rider, W.J. and Margolin, L.G. 2010, “Numerical regularization: The numerical analysis of implicit subgrid models,” ch. 5 in Implicit Large Eddy Simulation: Computing Turbulent Fluid Dynamics, ed. by Grinstein, F.F., Margolin, L.G., and Rider, W.J., 2nd printing, Cambridge University Press.Google Scholar
Petersen, M.R. and Livescu, D. 2010, “Forcing for statistically stationary compressible isotropic turbulence,” Phys. Fluids, 22(11), 1–11.CrossRefGoogle Scholar
Jimenez, J., Wray, A.A., Saffman, P.G., and Rogallo, R.S. 1993, “The structure of intense vorticity in isotropic turbulence,” J. Fluid Mech. 255, 65–90 832.CrossRefGoogle Scholar
Li, Y. and Meneveau, C. 2005, “Origin of non-Gaussian statistics in hydrodynamic turbulence,” Phys. Rev. Letters, 95, 1–4.CrossRefGoogle ScholarPubMed
Li, Y., Perlman, E., Wan, M., Yang, Y., Burns, R., Meneveau, C., Burns, R., Chen, S., Szalay, A., and Eyink, G. 2008, “A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence,” J. Turbulence 9, N31.CrossRefGoogle Scholar
Dimotakis, P.E. 2000, “The mixing transition in turbulent flows,” J. Fluid Mech., 409, 69–98.CrossRefGoogle Scholar
Jiménez, J. 1992, “Kinematic alignment effects in turbulent flows,” Phys. Fluids A, 4, 652–654.CrossRefGoogle Scholar
Wachtor, A.J. 2012, “On the predictability of turbulent mixing with implicit large-eddy simulation,” PhD Thesis Dissertation, University of California, Irvine.Google Scholar
Blaisdell, G.A., Mansour, N.N., and Reynolds, W.C. 1994, “Compressibility effects on the passive scalar flux within homogeneous turbulence,” Phys. Fluids 6, 3498–3500.CrossRefGoogle Scholar
Hirt, C.W. 1969, “Computer studies of time-dependent turbulent flows,” Phys. Fluids 12, II–219.CrossRefGoogle Scholar