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Perturbation analysis of baroclinic torque in low-Mach-number flows

Published online by Cambridge University Press:  03 November 2021

Shengqi Zhang
Affiliation:
State Key Laboratory for Turbulence and Complex Systems, Peking University, Beijing 100871, PR China
Zhenhua Xia*
Affiliation:
State Key Laboratory of Fluid Power and Mechatronic Systems, and Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, PR China
Shiyi Chen*
Affiliation:
State Key Laboratory for Turbulence and Complex Systems, Peking University, Beijing 100871, PR China Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen 518055, PR China
*
Email addresses for correspondence: [email protected], [email protected]
Email addresses for correspondence: [email protected], [email protected]

Abstract

In this paper, we propose a series expansion of the baroclinic torque in low-Mach-number flows, so that the accuracy and universality of any buoyancy term could be examined analytically, and new types of buoyancy terms could be constructed and validated. We first demonstrate that the purpose of introducing a buoyancy term is to approximate the baroclinic torque, and straightforwardly the error of any buoyancy term could be defined with the deviation of its curl from the corresponding baroclinic torque. Then a regular perturbation method is introduced for the elliptic equation of the hydrodynamic pressure in low-Mach-number flows, resulting in a sequence of Poisson equations, whose solutions lead to the series representation of the baroclinic torque and the new types of buoyancy terms. It is found that the frame invariance of the momentum equation is maintained with one of the new types of buoyancy terms. With the error definition of buoyancy terms and the series representation of the baroclinic torque, the validity and accuracy of previous and new buoyancy terms are examined. Finally, numerical simulations confirm that, with a decreasing density variation or an increasing order of our new buoyancy term, the simplified equations can converge to the original low-Mach-number equations.

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

REFERENCES

Achatz, U., Klein, R. & Senf, F. 2010 Gravity waves, scale asymptotics and the pseudo-incompressible equations. J. Fluid Mech. 663, 120147.CrossRefGoogle Scholar
Ahlers, G., Grossmann, S. & Lohse, D. 2009 Heat transfer and large scale dynamics in turbulent Rayleigh–Bénard convection. Rev. Mod. Phys. 81 (2), 503537.CrossRefGoogle Scholar
Barcilon, V. & Pedlosky, J. 1967 On the steady motions produced by a stable stratification in a rapidly rotating fluid. J. Fluid Mech. 29 (4), 673690.CrossRefGoogle Scholar
Boussinesq, J. 1903 Théorie analytique de la chaleur mise en harmonic avec la thermodynamique et avec la théorie mécanique de la lumière: Tome I-[II], vol. 2. Gauthier-Villars.Google Scholar
Busse, F.H. & Carrigan, C.R. 1974 Convection induced by centrifugal buoyancy. J. Fluid Mech. 62 (3), 579592.CrossRefGoogle Scholar
Chandrasekhar, S. 2013 Hydrodynamic and Hydromagnetic Stability. Courier Corporation.Google Scholar
Durran, D.R. 1989 Improving the anelastic approximation. J. Atmos. Sci. 46 (11), 14531461.2.0.CO;2>CrossRefGoogle Scholar
Durran, D.R. 2008 A physically motivated approach for filtering acoustic waves from the equations governing compressible stratified flow. J. Fluid Mech. 601, 365379.CrossRefGoogle Scholar
Durran, D.R. 2013 Numerical Methods for Wave Equations in Geophysical Fluid Dynamics, vol. 32. Springer Science & Business Media.Google Scholar
Dutton, J.A. & Fichtl, G.H. 1969 Approximate equations of motion for gases and liquids. J. Atmos. Sci. 26 (2), 241254.2.0.CO;2>CrossRefGoogle Scholar
Gough, D.O. 1969 The anelastic approximation for thermal convection. J. Atmos. Sci. 26 (3), 448456.2.0.CO;2>CrossRefGoogle Scholar
Gray, D.D. & Giorgini, A. 1976 The validity of the Boussinesq approximation for liquids and gases. Intl J. Heat Mass Transfer 19 (5), 545551.CrossRefGoogle Scholar
Homsy, G.M. & Hudson, J.L. 1969 Centrifugally driven thermal convection in a rotating cylinder. J. Fluid Mech. 35 (1), 3352.CrossRefGoogle Scholar
Horn, S. & Aurnou, J.M. 2018 Regimes of Coriolis-centrifugal convection. Phys. Rev. Lett. 120 (20), 204502.CrossRefGoogle ScholarPubMed
Kang, C., Meyer, A., Yoshikawa, H.N. & Mutabazi, I. 2019 Numerical study of thermal convection induced by centrifugal buoyancy in a rotating cylindrical annulus. Phys. Rev. Fluids 4 (4), 043501.CrossRefGoogle Scholar
Kang, C., Yang, K.-S. & Mutabazi, I. 2015 Thermal effect on large-aspect-ratio Couette–Taylor system: numerical simulations. J. Fluid Mech. 771, 5778.CrossRefGoogle Scholar
Livescu, D. 2020 Turbulence with large thermal and compositional density variations. Annu. Rev. Fluid Mech. 52, 309341.CrossRefGoogle Scholar
Livescu, D. & Ristorcelli, J.R. 2007 Buoyancy-driven variable-density turbulence. J. Fluid Mech. 591, 4371.CrossRefGoogle Scholar
Lohse, D. & Xia, K.-Q. 2010 Small-scale properties of turbulent Rayleigh–Bénard convection. Annu. Rev. Fluid Mech. 42, 335364.CrossRefGoogle Scholar
Lopez, J.M., Marques, F. & Avila, M. 2013 The Boussinesq approximation in rapidly rotating flows. J. Fluid Mech. 737, 5677.CrossRefGoogle Scholar
Lopez, J.M., Marques, F. & Avila, M. 2015 Conductive and convective heat transfer in fluid flows between differentially heated and rotating cylinders. Intl J. Heat Mass Transfer 90, 959967.CrossRefGoogle Scholar
Majda, A. & Sethian, J. 1985 The derivation and numerical solution of the equations for zero M number combustion. Combust. Sci. Technol. 42 (3–4), 185205.CrossRefGoogle Scholar
Ng, C.S., Ooi, A., Lohse, D. & Chung, D. 2015 Vertical natural convection: application of the unifying theory of thermal convection. J. Fluid Mech. 764, 349361.CrossRefGoogle Scholar
Paolucci, S. 1982 Filtering of Sound from the Navier–Stokes Equations. Sandia National Laboratories.Google Scholar
Paolucci, S. 1990 Direct numerical simulation of two-dimensional turbulent natural convection in an enclosed cavity. J. Fluid Mech. 215, 229262.CrossRefGoogle Scholar
Sharp, D.H. 1983 Overview of Rayleigh–Taylor instability. Report. Los Alamos National Laboratory.Google Scholar
Shirgaonkar, A.A. & Lele, S.K. 2006 On the extension of the Boussinesq approximation for inertia dominated flows. Phys. Fluids 18 (6), 066601.CrossRefGoogle Scholar
Shirgaonkar, A.A. & Lele, S.K. 2007 Interaction of vortex wakes and buoyant jets: a study of two-dimensional dynamics. Phys. Fluids 19 (8), 086601.CrossRefGoogle Scholar
Shishkina, O. 2016 Momentum and heat transport scalings in laminar vertical convection. Phys. Rev. E 93 (5), 051102.CrossRefGoogle ScholarPubMed
Spiegel, E.A. & Veronis, G. 1960 On the Boussinesq approximation for a compressible fluid. Astrophys. J. 131, 442447.CrossRefGoogle Scholar
de Vahl Davis, G. & Jones, I.P. 1983 Natural convection in a square cavity: a comparison exercise. Intl J. Numer. Meth. Fluids 3 (3), 227248.CrossRefGoogle Scholar
Waddell, J.T., Niederhaus, C.E. & Jacobs, J.W. 2001 Experimental study of Rayleigh–Taylor instability: low Atwood number liquid systems with single-mode initial perturbations. Phys. Fluids 13 (5), 12631273.CrossRefGoogle Scholar
Wang, Q., Xia, S.-N., Yan, R., Sun, D.-J. & Wan, Z.-H. 2019 Non-Oberbeck-Boussinesq effects due to large temperature differences in a differentially heated square cavity filled with air. Intl J. Heat Mass Transfer 128, 479491.CrossRefGoogle Scholar
Wei, T. & Livescu, D. 2012 Late-time quadratic growth in single-mode Rayleigh–Taylor instability. Phys. Rev. E 86 (4), 046405.CrossRefGoogle ScholarPubMed
Wood, T.S. & Bushby, P.J. 2016 Oscillatory convection and limitations of the Boussinesq approximation. J. Fluid Mech. 803, 502515.CrossRefGoogle Scholar
Xia, S.-N., Wan, Z.-H., Liu, S., Wang, Q. & Sun, D.-J. 2016 Flow reversals in Rayleigh–Bénard convection with non-Oberbeck-Boussinesq effects. J. Fluid Mech. 798, 628642.CrossRefGoogle Scholar
Yang, Y., Verzicco, R. & Lohse, D. 2016 Vertically bounded double diffusive convection in the finger regime: comparing no-slip versus free-slip boundary conditions. Phys. Rev. Lett. 117 (18), 184501.CrossRefGoogle ScholarPubMed
Zhang, S., Xia, Z., Zhou, Q. & Chen, S. 2020 Controlling flow reversal in two-dimensional Rayleigh–Bénard convection. J. Fluid Mech. 891, R4.CrossRefGoogle Scholar
Zhang, Y.-Z. & Bao, Y. 2015 Direct solution method of efficient large-scale parallel computation for 3D turbulent Rayleigh–Bénard convection. Acta Phys. Sin. 64 (15), 154702.Google Scholar
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