Boundary layer structure in turbulent thermal convection and its consequences for the required numerical resolution

被引:309
作者
Shishkina, Olga [1 ]
Stevens, Richard J. A. M. [2 ]
Grossmann, Siegfried [3 ]
Lohse, Detlef [2 ]
机构
[1] DLR, Inst Aerodynam & Flow Technol, D-37073 Gottingen, Germany
[2] Univ Twente, Dept Sci & Technol, Impact Inst & JM Burgers, Ctr Fluid Dynam, NL-7500 AE Enschede, Netherlands
[3] Univ Marburg, Fachbereich Phys, D-35032 Marburg, Germany
关键词
RAYLEIGH-BENARD CONVECTION; NUSSELT NUMBER; PRANDTL NUMBER; HEAT-TRANSFER; TEMPERATURE; SIMULATION; PROFILES;
D O I
10.1088/1367-2630/12/7/075022
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Results on the Prandtl-Blasius-type kinetic and thermal boundary layer (BL) thicknesses in turbulent Rayleigh-Benard (RB) convection in a broad range of Prandtl numbers are presented. By solving the laminar Prandtl-Blasius BL equations, we calculate the ratio between the thermal and kinetic BL thicknesses, which depends on the Prandtl number Pr only. It is approximated as 0.588Pr(-1/2) for Pr << Pr* and as 0.982Pr(-1/3) for Pr* << Pr, with Pr* equivalent to 0.046. Comparison of the Prandtl-Blasius velocity BL thickness with that evaluated in the direct numerical simulations by Stevens et al (2010 J. Fluid Mech. 643 495) shows very good agreement between them. Based on the Prandtl-Blasius-type considerations, we derive a lower-bound estimate for the minimum number of computational mesh nodes required to conduct accurate numerical simulations of moderately high (BL-dominated) turbulent RB convection, in the thermal and kinetic BLs close to the bottom and top plates. It is shown that the number of required nodes within each BL depends on Nu and Pr and grows with the Rayleigh number Ra not slower than similar to Ra-0.15. This estimate is in excellent agreement with empirical results, which were based on the convergence of the Nusselt number in numerical simulations.
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页数:17
相关论文
共 45 条
[1]   Non-Oberbeck-Boussinesq effects in strongly turbulent Rayleigh-Benard convection [J].
Ahlers, Guenter ;
Brown, Eric ;
Araujo, Francisco Fontenele ;
Funfschilllng, Denis ;
Grossmann, Siegfried ;
Lohse, Detlef .
JOURNAL OF FLUID MECHANICS, 2006, 569 :409-445
[2]   Turbulent Rayleigh-Benard convection for a Prandtl number of 0.67 [J].
Ahlers, Guenter ;
Bodenschatz, Eberhard ;
Funfschilling, Denis ;
Hogg, James .
JOURNAL OF FLUID MECHANICS, 2009, 641 :157-167
[3]   Heat transfer and large scale dynamics in turbulent Rayleigh-Benard convection [J].
Ahlers, Guenter ;
Grossmann, Siegfried ;
Lohse, Detlef .
REVIEWS OF MODERN PHYSICS, 2009, 81 (02) :503-537
[4]   Turbulent thermal convection at high Rayleigh numbers for a Boussinesq fluid of constant Prandtl number [J].
Amati, G ;
Koal, K ;
Massaioli, F ;
Sreenivasan, KR ;
Verzicco, R .
PHYSICS OF FLUIDS, 2005, 17 (12) :1-4
[5]  
Blasius H., 1908, Z. Angew. Math. Phys., V56, P1
[6]   Rayleigh and Prandtl number scaling in the bulk of Rayleigh-Benard turbulence [J].
Calzavarini, E ;
Lohse, D ;
Toschi, F ;
Tripiccione, R .
PHYSICS OF FLUIDS, 2005, 17 (05) :1-7
[7]   Turbulent Rayleigh-Benard convection in gaseous and liquid He [J].
Chavanne, X ;
Chillà, F ;
Chabaud, B ;
Castaing, B ;
Hébral, B .
PHYSICS OF FLUIDS, 2001, 13 (05) :1300-1320
[8]   NUMERICAL SIMULATIONS OF SOFT AND HARD TURBULENCE - PRELIMINARY-RESULTS FOR 2-DIMENSIONAL CONVECTION [J].
DELUCA, EE ;
WERNE, J ;
ROSNER, R ;
CATTANEO, F .
PHYSICAL REVIEW LETTERS, 1990, 64 (20) :2370-2373
[9]   Scaling in thermal convection: a unifying theory [J].
Grossmann, S ;
Lohse, D .
JOURNAL OF FLUID MECHANICS, 2000, 407 :27-56
[10]   Prandtl and Rayleigh number dependence of the Reynolds number in turbulent thermal convection [J].
Grossmann, S ;
Lohse, D .
PHYSICAL REVIEW E, 2002, 66 (01) :1-016305