リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

大学・研究所にある論文を検索できる 「Modeling the effect of helicity on the transport of the Reynolds stress in rotating inhomogeneous turbulence」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

コピーが完了しました

URLをコピーしました

論文の公開元へ論文の公開元へ
書き出し

Modeling the effect of helicity on the transport of the Reynolds stress in rotating inhomogeneous turbulence

稲垣, 和寛 東京大学 DOI:10.15083/0002001844

2021.10.04

概要

Most of the flow of fluids around us shows a stochastic behavior both in time and space. Such stochastic flows are referred to as turbulence. Although the instantaneous motion of turbulent fluid is stochastic and not reproducible, statistical properties such as the mean velocity or the turbulence intensity are known to be reproducible. However, the statistically averaged equations of a fluid are never closed due to the nonlinearity of the momentum equation. In order to predict the statistical properties of turbulent flows, some modeling for unclosed quantities is required. Such a modeling is referred to as the turbulence modeling.

In the equation for the mean velocity of incompressible fluid, the unclosed quantity is only the Reynolds stress, which is the auto-correlation of velocity fluctuations. The Reynolds stress represents the effect of turbulence on the mean velocity. The most primitive model for the Reynolds stress is the eddy-viscosity model, which represents the enhancement of the momentum diffusion due to the turbulent motion of a fluid. However, it is known that the accuracy of the eddy-viscosity model often decreases in the turbulent flows accompanied with rotational motion. In order to overcome this shortfall, some other effects of turbulence associated with the rotation should be considered. The vortex dynamo effect is an example which describes the effect of rotation on the mean velocity. In the previous study, the model for the Reynolds stress describing the vortex dynamo effect was proposed by considering the effect of the turbulent helicity, which is the statistical average of the inner product of velocity and vorticity fluctuations. The previous study numerically showed that the mean velocity is generated in rotating turbulence accompanied with the turbulent helicity. This mean velocity generation phenomenon is consistent with the previously proposed model for the Reynolds stress accompanied with the turbulent helicity. However, the mechanism that the turbulent helicity affects the mean velocity or the Reynolds stress has been unclear.

There is another shortfall of the conventional turbulence model in rotating turbulence. The previous studies of rotating turbulence showed that the kinetic energy of turbulence is transferred faster in the direction of the rotation axis than non-rotating case. It was shown that the turbulence region d grows as d ∼ t in the rotating case, while d ∼ t1/2 in the non-rotating case. Hence, this energy diffusion cannot be predicted by the gradient diffusion approximation, which predicts that the growth of the turbulence region as d ∼ t1/2. In the conventional turbulence modeling, the turbulent energy flux is modeled by the gradient-diffusion approximation, so that it cannot predict the fast energy transport observed in rotating turbulence. The previous study suggested that this fast energy transport is explained in terms of inertial wave described by the linearized momentum equation in a rotating system. It is known that the propagation direction of the group velocity of inertial waves is related to the sign of helicity. This fact suggests that the fast energy transport in the direction of the rotation axis can be modeled in terms of the turbulent helicity.

In order to investigate the effect of the turbulent helicity on the mean velocity, the numerical simulation of rotating turbulence in which the turbulent helicity is injected by using the external forcing is performed. Similar to the previous study, the mean velocity in the direction of the rotation axis is generated only when the system is rotating and the turbulent helicity is injected. The budget for the transport equation for the Reynolds stress is investigated to clarify the source of the mean velocity. It is shown that the pressure diffusion term, which is the spatial derivative of the correlation between velocity and pressure fluctuations, has a significant contribution to the mean velocity generation phenomenon. It is revealed that the pressure diffusion can be expressed by the turbulent helicity. A new turbulence model for the pressure diffusion accompanied with the turbulent helicity is proposed by means of the statistical closure theory which is referred to as the two-scale direct interaction approximation (TSDIA). It is also shown that the previously proposed model for the Reynolds stress accompanied with the turbulent helicity can be obtained based on the Reynolds stress transport equation by incorporating the effect of the pressure diffusion. The model for the Reynolds stress accompanied with the turbulent helicity can account for the mean velocity generation phenomenon without contradiction to the simulation results. Since the pressure diffusion is conventionally neglected in the previous turbulence modeling, the present result points out the critical shortfall of the conventional turbulence model in rotating turbulence accompanied with the turbulent helicity.

In order to investigate the turbulence model predicting the fast energy transport phenomenon observed in rotating turbulence, the numerical simulation of decaying inhomogeneous turbulence in rotating system in which the turbulent energy is diffused in the direction of the rotation axis is performed. It is shown that the pressure diffusion term associated with the rotation significantly contributes to the energy transport in the rotating system. The newly proposed model for the energy flux accompanied with the turbulent helicity accounts for the spatial distribution of the energy flux due to the pressure associated with the rotation, which cannot be explained by the gradient-diffusion approximation. It is shown that this energy flux due to the rotation is tightly connected to the group velocity of inertial waves described by the linearized momentum equation in a rotating system. Finally, the helical Rossby number is proposed to judge the significance of the energy flux due to the turbulent helicity and rotation in general turbulent flows.

参考文献

ANDRE´, J.C. & LESIEUR, M. 1977 Influence of helicity on the evolution of isotropic turbulence at high Reynolds number. J. Fluid Mech. 81, 187.

ARIKI, T. 2014 Mean-Lagrangian renormalization theory of inhomogeneous turbulent flow. PhD thesis, The University of Tokyo.

ARIKI, T. 2015 Covariance of fluid-turbulence theory. Phys. Rev. E 91, 053001.

ARIKI, T. 2018 Constitutive theory of inhomogeneous turbulent flow based on two-scale Lagrangian formalism. arXiv:1801.10435 .

BAERENZUNG, J., POLITANO, H., PONTY, Y. & POUQUET, A. 2008 Spectral modeling of turbulent flows and the role of helicity. Phys. Rev. E 77, 046303.

BARDINA, J., FERZIGER, J. H. & ROGALLO, R. S. 1985 Effect of rotation on isotropic turbulence: computation and modelling. J. Fluid Mech. 154, 321.

BIFERALE, L., MUSACCHIO, S. & TOSCHI, F. 2012 Inverse energy cascade in three-dimensional isotropic turbulence. Phys. Rev. Lett. 108, 164501.

BIFERALE, L., MUSACCHIO, S. & TOSCHI, F. 2013 Split energy–helicity cascades in three-dimensional homogeneous and isotropic turbulence. J. Fluid Mech. 730, 309.

BORUE, V. & ORSZAG, S. A. 1997 Spectra in helical three-dimensional homogeneous isotropic turbulence. Phys. Rev. E 55, 7005.

BRANDENBURG, A. & SUBRAMANIAN, K. 2005 Astrophysical magnetic fields and nonlinear dynamo theory. Phys. Reports 417, 1.

BRISSAUD, A., FRISCH, U., LEORAT, J., LESIEUR, M. & MAZURE, A. 1973 Helicity cascades in fully developed isotropic turbulence. Phys. Fluids 16, 1366.

CAMBON, C. & JACQUIN, L. 1989 Spectral approach to non-isotropic turbulence subjected to rotation. J. Fluid Mech. 202, 295.

CAMBON, C., MANSOUR, N. N. & GODEFERD, F. S. 1997 Energy transfer in rotating turbulence. J. Fluid Mech. 337, 303.

CHEN, Q., CHEN, S. & EYINK, G. L. 2003 The joint cascade of energy and helicity in three-dimensional turbulence. Phys. Fluids 15, 361.

CRAFT, T. J., LAUNDER, B. E. & SUGA, K. 1996 Development and application of a cubic eddy-viscosity model of turbulence. Int. J. Heat Fluid flow 17, 108.

DAVIDSON, P. A. 2004 Turbulence: An Introduction for Scientists and Engineers. Oxford: Oxford Uni- versity Press.

DAVIDSON, P. A., STAPLEHURST, P. J. & DALZIEL, S. B. 2006 On the evolution of eddies in a rapidly rotating system. J. Fluid Mech. 557, 135.

DEUSEBIO, E. & LINDBORG, E. 2014 Helicity in the Ekman boundary layer. J. Fluid Mech. 755, 654.

DICKINSON, S. C. & LONG, R. R. 1978 Laboratory study of the growth of a turbulent layer of fluid. Phys. Fluids 21, 1698.

DICKINSON, S. C. & LONG, R. R. 1983 Oscillating-grid turbulence including effects of rotation. J. Fluid Mech. 126, 315.

ESWARAN, V. & POPE, S. B. 1988 An examination of forcing in direct numerical simulations of turbu- lence. Comput. Fluids 16, 257.

FRISCH, U., SHE, Z. S. & SULEM, P. L. 1987 Large-scale flow driven by the anisotropic kinetic alpha effect. Physica D 28, 382.

FUKAGATA, K. & KASAGI, N. 2002 Highly energy-conservative finite difference method for the cylindrical coordinate system. J. Comput. Phys. 181, 478.

GATSKI, T. B. & SPEZIALE, C. G. 1993 On explicit algebraic stress models for complex turbulent flows. J. Fluid Mech. 254, 59.

GILLESPIE, D. T. 1996 The mathematics of Brownian motion and Johnson noise. Am. J. Phys. 64, 225.

GODEFERD, F. S. & LOLLINI, L. 1999 Direct numerical simulations of turbulence with confinement and rotation. J. Fluid Mech. 393, 257.

GVARAMADZE, V. V., KHOMENKO, G. A. & TUR, A. V. 1989 Large-scale vortices in helical turbulence of incompressible fluid. Geophys. Astrophys. Fluid Dyn. 46, 53.

HAMBA, F. 1987 Statistical analysis of chemically reacting passive scalars in turbulent shear flows. J. Phys. Soc. Jpn. 56, 79.

HAMBA, F. 2006 Euclidean invariance and weak-equilibrium condition for the algebraic Reynolds stress model. J. Fluid Mech 569, 399.

HAMBA, F. 2015 Turbulent energy density and its transport equation in scale space. Phys. Fluids 27, 085108.

HAMBA, F. 2017 History effect on the Reynolds stress in turbulent swirling flow. Phys. Fluids 29, 025103.

HAMILINGTON, P. E. & DAHM, W. J. A. 2008 Reynolds stress closure for nonequilibrium effects in turbulent flows. Phys. Fluids 20, 115101.

HANJALIC´, K. & LAUNDER, B. 2011 Modelling Turbulence in Engineering and the Environment: Second- Moment Routes to Closure. Cambridge University Press.

HERRING, J. R. 1974 Approach of axisymmetric turbulence to isotropy. Phys. Fluids 17, 859.

HOPFINGER, E. J. & TOLY, J.-A. 1976 Spatially decaying turbulence and its relation to mixing across density interfaces. J. Fluid Mech. 78, 155.

INAGAKI, K. & HAMBA, F. 2018 Energy transport due to pressure diffusion enhanced by helicity and system rotation in inhomogeneous turbulence. Phys. Rev. Fluids 3, 124601.

INAGAKI, K., YOKOI, N. & HAMBA, F. 2017 Mechanism of mean flow generation in rotating turbulence through inhomogeneous helicity. Phys. Rev. Fluids 2, 114605.

ISHIHARA, T., MORISHITA, K., YOKOKAWA, M., UNO, A. & KANEDA, Y. 2016 Energy spectrum in high-resolution direct numerical simulations of turbulence. Phys. Rev. Fluids 1, 082403.

JAKIRLIC´, S., HANJALIC´, K. & TROPEA, C. 2000 Second-moment closure analysis of rotating and swirling confined flows. In European Congress on Computational Methods in Applied Sciences and Engineering, Barcelona, pp. 11–14.

KANEDA, Y. 1981 Renormalized expansions in the theory of turbulence with the use of the Lagrangian position function. J. Fluid Mech. 107, 131.

KANEDA, Y. 2007 Lagrangian renormalized approximation of turbulence. Fluid Dyn. Res. 39, 526.

KESSAR, M., PLUNIAN, F., STEPANOV, R. & BALARAC, G. 2015 Non-Kolmogorov cascade of helicity- driven turbulence. Phys. Rev. E 92, 031004.

KIDA, S. & YANASE, S. 1999 Turbulence dynamics. Tokyo: Asakura (in Japanese).

KITOH, O. 1991 Experimental study of turbulent swirling flow in a straight pipe. J. Fluid Mech. 225, 445.

KOBAYASHI, T. & YODA, M. 1987 Modified k–ε model for turbulent swirling flow in a straight pipe. JSME Int. J. 30, 66.

KOLMOGOROV, A. N. 1941 The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers. Dokl. Akad. Nauk. SSSR 30, 299.

KOLVIN, I., COHEN, K., VARDI, Y. & SHARON, E. 2009 Energy transfer by inertial waves during the buildup of turbulence in a rotating system. Phys. Rev. Lett. 102, 014503.

KOPROV, B. M., KOPROV, V. M., PONOMAREV, V. M. & CHKHETIANI, O. G. 2005 Experimental studies of turbulent helicity and its spectrum in the atmospheric boundary layer. Dokl. Phys. 50, 419.

KRAICHNAN, R. H. 1959 The structure of isotropic turbulence at very high Reynolds numbers. J. Fluid Mech. 5, 497.

KRAICHNAN, R. H. 1965 Lagrangian-history closure approximation for turbulence. Phys. Fluids 8, 575.

KRAICHNAN, R. H. 1967 Inertial ranges in two-dimensional turbulence. Phys. Fluids 10, 1417.

KRAICHNAN, R. H. 1973 Helical turbulence and absolute equilibrium. J. Fluid Mech. 59, 745.

KRAICHNAN, R. H. 1977 Eulerian and Lagrangian renormalization in turbulence theory. J. Fluid Mech. 83, 349.

KRAUSE, F. & RA¨DLER, K.-H. 1980 Mean-field Magnetohydrodynamics and Dynamo Theory . Oxford: Pergamon Press.

LAUNDER, B. E., REECE, G. J. & RODI, W. 1975 Progress in the development of a Reynolds-stress turbulence closure. J. Fluid Mech. 68, 537.

LESLIE, D. C. 1971 Developments in the Theory of Turbulence. Oxford: Clarendon Press.

LI, Y., MENEVEAU, C., CHEN, S. & EYINK, G. L. 2006 Subgrid-scale modeling of helicity and energy dissipation in helical turbulence. Phys. Rev. E 74, 026310.

LILLY, D. K. 1986 The structure, energetics and propagation of rotating convective storms. Part II: Helicity and storm stabilization. J. Atmos. Sci. 43, 126.

LINKMANN, M. 2018 Effects of helicity on dissipation in homogeneous box turbulence. J. Fluid Mech. 856, 79.

MATSUNAGA, N., SUGIHARA, Y., KOMATSU, T. & MASUDA, A. 1999 Quantitative properties of oscillating-grid turbulence in a homogeneous fluid. Fluid Dyn. Res. 25, 147.

MOFFATT, H. K. 1969 The degree of knottedness of tangled vortex lines. J. Fluid Mech. 35, 117.

MOFFATT, H. K. 1970 Dynamo action associated with random inertial waves in a rotating conducting fluid. J. Fluid Mech. 44, 705.

MOFFATT, K. H. 1978 Field Generation in Electrically Conducting Fluids. Cambridge: Cambridge Uni- versity Press.

MORINISHI, Y., NAKABAYASHI, K. & REN, Q. 2001a Dynamics of anisotropy on decaying homogeneous turbulence subjected to system rotation. Phys. Fluids 13, 2912.

MORINISHI, Y., NAKABAYASHI, K. & REN, Q. 2001b A new DNS algorithm for rotating homogeneous decaying turbulence. Int. J. Heat Fluid Flow 22, 30.

MORINISHI, Y., NAKABAYASHI, K. & REN, S. 2001c Effects of helicity and system rotation on decaying homogeneous turbulence. JSME Int. J., Ser. B 44, 410.

NODA, A. T. & NIINO, H. 2010 A numerical investigation of a supercell tornado: Genesis and vorticity budget. J. Meteorol. Soc. Jpn. 88, 135.

OKAMOTO, M. 1994 Theoretical investigation of an eddy-viscosity-type representation of the Reynolds stress. J. Phys. Soc. Jpn. 63, 2102.

OKAMOTO, M. 1995 Theoretical turbulence modelling of homogeneous decaying flow in a rotating frame. J. Phys. Soc. Jpn. 64, 2854.

ORLANDI, P. 1997 Helicity fluctuations and turbulent energy production in rotating and non-rotating pipes. Phys. Fluids 9, 2045.

ORSZAG, S. A. 1969 Numerical methods for the simulation of turbulence. Phys. Fluids 12, II–250.

PIOMELLI, U. 1999 Large-eddy simulation: achievements and challenges. Prog. Aerosp. Sci. 35, 335.

POPE, S. B. 1975 A more general effective-viscosity hypothesis. J. Fluid Mech. 72, 331.

POPE, S. B. 2000 Turbulent flows. Cambridge: Cambridge University Press.

RANJAN, A. 2017 Segregation of helicity in inertial wave packets. Phys. Rev. Fluids 2, 033801.

RANJAN, A. & DAVIDSON, P. A. 2014 Evolution of a turbulent cloud under rotation. J. Fluid Mech. 756, 488.

REYNOLDS, O. 1883 An experimental investigation of the circumstances which determine whether the motion of water shall he direct or sinuous, and of the law of resistance in parallel channels. Phil. Trans. R. Soc. Lond. 174, 935.

ROGERS, M. M. & MOIN, P. 1987 Helicity fluctuations in incompressible turbulent flows. Phys. Fluids 30, 2662.

SCHUMANN, U. 1977 Realizability of Reynolds-stress turbulence models. Phys. Fluids 20, 721.

SHIH, T.-H., ZHU, J. & LUMLEY, J. L. 1993 A realizable Reynolds stress algebraic equation model. NASA TM 105993 .

SHIH, T.-H., ZHU, J. & LUMLEY, J. L. 1995 A new Reynolds stress algebraic equation model. Comput. Methos Appl. Mech. Engrg. 125, 287.

SHIMOMURA, Y. 1998 A theoretical study of the turbulent diffusion in incompressible shear flows and in passive scalars. Phys. Fluids 10, 2636.

SHIMOMURA, Y. & YOSHIZAWA, A. 1986 Statistical analysis of anisotropic turbulent viscosity in a rotating system. J. Phys. Soc. Jpn. 55, 1904.

SMAGORINSKY, J. 1963 General circulation experiments with the primitive equations. I. The basic exper- iment. Mon. Weather Rev. 91, 99.

SPALART, P. R. 1998 Airplane trailing vortices. Annu. Rev. Fluid Mech. 30, 107.

SPEZIALE, C. G. 1987 On nonlinear K–l and K–ϵ models of turbulence. J. Fluid Mech. 178, 459.

SPEZIALE, C. G., SARKAR, S. & GATSKI, T. B. 1991 Modelling the pressure–strain correlation of turbulence: an invariant dynamical systems approach. J. Fluid Mech. 227, 245.

SPEZIALE, C. G., YOUNIS, B. A. & BERGER, S. A. 2000 Analysis and modelling of turbulent flow in an axially rotating pipe. J. Fluid Mech. 407, 1.

SREENIVASAN, K. R. 1995 On the universality of the Kolmogorov constant. Phys. Fluids 7, 2778.

STEENBERGEN, W. W. 1995 Turbulent pipe flow with swirl. PhD thesis, Technische Universiteit Eind- hoven.

STEPANOV, R., FRICK, P., DULIN, V. & MARKOVICH, D. 2018 Analysis of mean and fluctuating helicity measured by To-moPIV in swirling jet. EPJ Web Conf. 180, 02097.

STEPANOV, R., GOLBRAIKH, E., FRICK, P. & SHESTAKOV, A. 2015 Hindered energy cascade in highly helical isotropic turbulence. Phys. Rev. Lett. 115, 234501.

TAULBEE, D. B. 1992 An improved algebraic Reynolds stress model and corresponding nonlinear stress model. Phys. Fluids A 4, 2555.

TAYLOR, G. I. 1935 Statistical theory of turbulence. Proc. R. Soc. A 151, 421.

WALLACE, J. M., BALINT, J.-L. & ONG, L. 1992 An experimental study of helicity density in turbulent flows. Phys. Fluids A 4, 2013.

WALLIN, S. & JOHANSON, A. V. 2000 An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows. J. Fluid Mech. 403, 89.

WATANABE, T. & GOTOH, T. 2007 Inertial-range intermittency and accuracy of direct numerical simu- lation for turbulence and passive scalar turbulence. J. Fluid Mech. 590, 117.

WEIS, J. & HUTTER, K. 2003 On Euclidean invariance of algebraic Reynolds stress models in turbulence. J. Fluid Mech. 476, 63.

WYLD, H. W. 1961 Formulation of the theory of turbulence in an incompressible fluid. Ann. Phys. 14, 143.

YOKOI, N. 2016 Modeling helicity dissipation-rate equation. In Progress in Turbulence VI, Springer Proceedings in Physics 165 (ed. J. Peinke et al.), pp. 93–96. Heidelberg: Springer.

YOKOI, N. & BRANDENBURG, A. 2016 Large-scale flow generation by inhomogeneous helicity. Phys. Rev. E 93, 033125.

YOKOI, N. & YOSHIZAWA, A. 1993 Statistical analysis of the effects of helicity in inhomogeneous turbu- lence. Phys. Fluids A 5, 464.

YOSHIMATSU, K., MIDORIKAWA, M. & KANEDA, Y. 2011 Columnar eddy formation in freely decaying homogeneous rotating turbulence. J. Fluid Mech. 677, 154.

YOSHIZAWA, A 1978 A governing equation for the small-scale turbulence. II. Modified DIA approach and Kolmogorov’s -5/3 power low. J. Phys. Soc. Jpn. 45, 1734.

YOSHIZAWA, A. 1984 Statistical analysis of the derivation of the Reynolds stress from its eddy-viscosity representation. Phys. Fluids 27, 1377.

YOSHIZAWA, A. 1998 Hydrodynamic and Magnetohydrodynamic Turbulent Flows: Modelling and Statis- tical Theory . Dordrecht: Kluwer.

YOSHIZAWA, A. 2002 Statistical analysis of mean-flow effects on the pressure–velocity correlation. Phys. Fluids 14, 1736.

参考文献をもっと見る

全国の大学の
卒論・修論・学位論文

一発検索!

この論文の関連論文を見る