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Reactive scalars in incompressible turbulence with strongly out of equilibrium chemistry

Published online by Cambridge University Press:  15 March 2022

Wenwei Wu
Affiliation:
UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai200240, PR China Univ. Lille, ULR 7512 Unité de Mécanique de Lille - Joseph Boussinesq (UML), F-59000Lille, France Univ. Lille, Univ. Littoral Cote d'Opale, CNRS, Laboratory of Oceanology and Geosciences, UMR LOG 8187, Wimereux, France
Lipo Wang*
Affiliation:
UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai200240, PR China
Enrico Calzavarini
Affiliation:
Univ. Lille, ULR 7512 Unité de Mécanique de Lille - Joseph Boussinesq (UML), F-59000Lille, France
François G. Schmitt
Affiliation:
Univ. Lille, Univ. Littoral Cote d'Opale, CNRS, Laboratory of Oceanology and Geosciences, UMR LOG 8187, Wimereux, France
*
Email address for correspondence: lipo.wang@sjtu.edu.cn

Abstract

We study the statistical properties of scalar fields undergoing reversible chemical reactions in a turbulent environment by means of numerical simulations. To produce strong chemical fluctuations in a wide region of the domain, an original flow configuration has been proposed, where the species are supplied from buffer boundaries with adjustable thickness, while the flow is developed homogeneous and isotropic turbulence in a periodic domain. With the presence of the mean scalar gradient in the bulk region, the strength of turbulent advection is comparable with the chemical source, which is quantified by the Damköhler number. Our analysis focuses on the global and spatial properties of the reactive scalars in their statistically steady regime. We show how for the case of a second-order reaction such features can be connected to the properties of a non-reactive scalar field advected in the same system. Analytical predictions of the scalar moments in the fast reaction regime agree satisfactorily with the direct numerical simulation results. In comparison with the existing results of the isotropic turbulence case, we conclude that the scalar correlation is jointly determined by both the chemical source and the flow configuration. Moreover, the chemical reaction also plays an important role in determining the scalar energy spectra.

Type
JFM Papers
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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References

REFERENCES

Bilger, R.W. & Krishnamoorthy, L.V. 1991 Reaction in a scalar mixing layer. J. Fluid Mech. 233, 211242.CrossRefGoogle Scholar
Brasseur, G.P., Schultz, M., Granier, C., Saunois, M., Diehl, T., Botzet, M., Roeckner, E. & Walters, S. 2006 Impact of climate change on the future chemical composition of the global temperature. J. Climate 19, 39323951.CrossRefGoogle Scholar
Chakraborty, N. & Cant, S. 2004 Unsteady effects of strain rate and curvature on turbulent premixed flames in inlet-outlet configuration. Combust. Flame 137 (1–2), 129147.CrossRefGoogle Scholar
Corrsin, S. 1961 The reactant concentration spectrum in turbulent mixing with a first-order reaction. J. Fluid Mech. 11, 407416.CrossRefGoogle Scholar
Demosthenous, E., Borghesi, G., Mastorakos, E. & Cant, R.S. 2016 Direct numerical simulations of premixed methane flame initiation by pilot n-heptane spray autoignition. Combust. Flame 163, 122137.CrossRefGoogle Scholar
Dewar, W.K. 2009 OCEANOGRAPHY A fishy mix. Nature 460, 581582.CrossRefGoogle ScholarPubMed
Eswaran, V. & Pope, S.B. 1988 An examination of forcing in direct numerical simulations of turbulence. Comput. Fluids 16 (3), 257278.CrossRefGoogle Scholar
Gauding, M., Danaila, L. & Varea, E. 2017 High-order structure functions for passive scalar fed by a mean gradient. Intl J. Heat Fluid Flow 67, 8693.CrossRefGoogle Scholar
Gauding, M., Danaila, L. & Varea, E. 2018 One-point and two-point statistics of homogeneous isotropic decaying turbulence with variable viscosity. Intl J. Heat Fluid Flow 72, 143150.CrossRefGoogle Scholar
Gros̆elj, D., Jenko, F. & Frey, E. 2015 How turbulence regulates biodiversity in systems with cyclic competition. Phys. Rev. E 91 (3), 033009.CrossRefGoogle ScholarPubMed
Heeb, T.G. & Brodkey, R.S. 1990 Turbulent mixing with multiple second-order chemical reactions. AIChE J. 36 (10), 14571470.CrossRefGoogle Scholar
Hernandez-Garcia, E. & Lopez, C. 2004 Sustained plankton blooms under open chaotic flows. Ecol. Complex. 1 (3), 253259.CrossRefGoogle Scholar
Hill, J.C. 1976 Homogeneous turbulent mixing with chemical reaction. Annu. Rev. Fluid Mech. 8 (1), 135161.CrossRefGoogle Scholar
Hou, T.Y. & Li, R. 2007 Computing nearly singular solutions using pseudo-spectral methods. J. Comput. Phys. 226 (1), 379397.CrossRefGoogle Scholar
Komori, S., Hunt, J.C.R., Kanzaki, T. & Murakami, Y. 1991 The effects of turbulent mixing on the correlation between two species and on concentration fluctuations in non-premixed reacting flows. J. Fluid Mech. 228, 629659.Google Scholar
Kraichnan, R.H. 1968 Small-scale structure of a scalar field convected by turbulence. Phys. Fluids 11, 945953.CrossRefGoogle Scholar
Kunze, E. 2019 Biologically generated mixing in the ocea. Annu. Rev. Mar. Sci. 11, 215226.CrossRefGoogle Scholar
Lamb, R.G. & Shu, W.R. 1978 A model of second-order chemical reactions in turbulent fluid. I. Formulation and validation. Atmos. Environ. 12 (8), 16851694.CrossRefGoogle Scholar
Libby, P.A. & Williams, F.A. 1976 Turbulent flows involving chemical reactions. Annu. Rev. Fluid Mech. 8 (1), 351376.CrossRefGoogle Scholar
Lin, C.H. & O'Brien, E.E. 1974 Turbulent shear flow mixing and rapid chemical reactions: an analogy. J. Fluid Mech. 64, 195206.CrossRefGoogle Scholar
Lopez, C., Neufeld, Z., Hernandez-Garcia, E. & Haynes, P.H. 2001 Chaotic advection of reacting substances: Plankton dynamics on a meandering jet. Phys. Chem. Earth 26 (4), 313317.CrossRefGoogle Scholar
Mansour, N.N. & Wray, A.A. 1994 Decay of isotropic turbulence at low Reynolds number. Phys. Fluids 6 (2), 808814.CrossRefGoogle Scholar
Mellado, J.P., Wang, L. & Peters, N. 2009 Gradient trajectory analysis of a scalar field with external intermittency. J. Fluid Mech. 626, 333365.CrossRefGoogle Scholar
Meyers, B.E., O'Brien, E.E. & Scott, L.R. 1978 Random advection of chemically reacting species. J. Fluid Mech. 85, 233240.CrossRefGoogle Scholar
Mitrovic, B.M. & Papavassiliou, D.V. 2004 Effects of a first-order chemical reaction on turbulent mass transfer. Intl J. Heat Mass Transfer 47 (1), 4361.CrossRefGoogle Scholar
Molemaker, M.J. & de Arellano, J.V.G. 1998 Control of chemical reactions by convective turbulence in the boundary layer. J. Atmos. Sci. 55 (4), 568579.2.0.CO;2>CrossRefGoogle Scholar
Monin, A.S. & Yaglom, A.M. 1975 Statistical Fluid Mechanics: Mechanics of Turbulence. MIT.Google Scholar
O'Brien, E.E. 1966 Decaying second-order isothermal reaction in final period turbulence. Phys. Fluids 9 (1), 215216.CrossRefGoogle Scholar
O'Brien, E.E. 1971 Very rapid, isothermal, two-species reactions in final period turbulence. Phys. Fluids 14 (8), 18041806.CrossRefGoogle Scholar
Pao, Y. 1964 Statistical behavior of a turbulent multicomponent mixture with first-order reactions. AIAA J. 2 (9), 15501559.CrossRefGoogle Scholar
Pearson, B. & Fox-Kemper, B. 2018 Log-normal turbulence dissipation in global ocean models. Phys. Rev. Lett. 120 (9), 094510.CrossRefGoogle ScholarPubMed
Peters, N. 2000 Turbulent Combustion. Cambridge University Press.CrossRefGoogle Scholar
Pope, S.B. 2000 Turbulent Flows. Cambridge University Press.CrossRefGoogle Scholar
Powell, T.M. & Okubo, A. 1994 Turbulence, diffusion and patchiness in the sea. Phil. Trans. R. Soc. Lond. B 343 (1303), 1118.Google Scholar
Schumacher, J., Sreenivasan, K.R. & Yakhot, V. 2007 Asymptotic exponents from low-Reynolds- number flows. New J. Phys. 9 (4), 119.CrossRefGoogle Scholar
Shraiman, B.I. & Siggia, E.D. 2000 Scalar turbulence. Nature 405, 639646.CrossRefGoogle ScholarPubMed
Sripakagorn, P., Mitarai, S., Kosály, G. & Pitsch, H. 2004 Extinction and reignition in a diffusion flame: a direct numerical simulation study. J. Fluid Mech. 518, 231259.CrossRefGoogle Scholar
Sykes, R.I., Parker, S.F., Henn, D.S. & Lewellen, W.S. 1994 Turbulent mixing with chemical reaction in the planetary boundary layer. J. Appl. Meteorol. 33 (7), 825834.2.0.CO;2>CrossRefGoogle Scholar
Toor, H.L. 1969 Turbulent mixing of two species with and without chemical reactions. Ind. Engng Chem. Res. 8 (4), 655659.Google Scholar
Wang, M., Kong, W., Marten, R., He, X. & Donahue, N. 2020 Rapid growth of new atmospheric particles by nitric acid and ammonia condensation. Nature 581 (7807), 184189.CrossRefGoogle ScholarPubMed
Warhaft, Z. 2000 Passive scalars in turbulent flows. Annu. Rev. Fluid Mech. 32 (1), 203240.CrossRefGoogle Scholar
Wu, W., Calzavarini, E., Schmitt, F.G. & Wang, L. 2020 Fluctuations and correlations of reactive scalars near chemical equilibrium in incompressible turbulence. Phys. Rev. Fluids 5 (8), 084608.CrossRefGoogle Scholar
Zhao, P., Wang, L. & Chakraborty, N. 2018 a Analysis of the flame–wall interaction in premixed turbulent combustion. J. Fluid Mech. 848, 193218.CrossRefGoogle Scholar
Zhao, P., Wang, L. & Chakraborty, N. 2018 b Strain rate and flame orientation statistics in the near-wall region for turbulent flame-wall interaction. Combust. Theor. Model. 22 (5), 921938.CrossRefGoogle Scholar