MULTIFRACTAL CHARACTERISTICS OF AXISYMMETRIC JET TURBULENCE INTENSITY FROM RANS NUMERICAL SIMULATION

被引:2
作者
Seo, Yongwon [1 ]
Ko, Haeng Sik [2 ]
Son, Sangyoung [3 ]
机构
[1] Yeungnam Univ, Dept Civil Engn, Gyongsan 38541, South Korea
[2] Jeju Natl Univ, Dept Ocean Syst Engn, Jeju 63243, South Korea
[3] Korea Univ, Sch Civil Environm & Architectural Engn, Seoul 02841, South Korea
基金
新加坡国家研究基金会;
关键词
Multifractal; Turbulence Intensity; Box-Count Method; Reynolds-Averaged Navier-Stokes Equations; k-epsilon Model; k-omega Model; LARGE-EDDY SIMULATION; FLOW DISTRIBUTION; NOZZLE GEOMETRY; MODEL; NETWORKS; FIELD;
D O I
10.1142/S0218348X18500081
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
A turbulent jet bears diverse physical characteristics that have been unveiled yet. Of particular interest is to analyze the turbulent intensity, which has been a key factor to assess and determine turbulent jet performance since diffusive and mixing conditions are largely dependent on it. Multifractal measures are useful in terms of identifying characteristics of a physical quantity distributed over a spatial domain. This study examines the multifractal exponents of jet turbulence intensities obtained through numerical simulation. We acquired the turbulence intensities from numerical jet discharge experiments, where two types of nozzle geometry were tested based on a Reynolds-Averaged Navier-Stokes (RANS) equations. The k-epsilon model and k-omega model were used for turbulence closure models. The results showed that the RANS model successfully regenerates transversal velocity profile, which is almost identical to an analytical solution. The RANS model also shows the decay of turbulence intensity in the longitudinal direction but it depends on the outfall nozzle lengths. The result indicates the existence of a common multifractal spectrum for turbulence intensity obtained from numerical simulation. Although the transverse velocity profiles are similar for two different turbulence models, the minimum Lipschitz-Holder exponent (alpha(min)) and entropy dimension (alpha(1)) are different. These results suggest that the multifractal exponents capture the difference in turbulence structures of hierarchical turbulence intensities produced by different turbulence models.
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页数:14
相关论文
共 36 条
[1]   Effect of nozzle geometry and semi-confinement on the potential core of a turbulent axisymmetric free jet [J].
AshforthFrost, S ;
Jambunathan, K .
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 1996, 23 (02) :155-162
[2]   ON THE MULTIFRACTAL PROPERTIES OF THE ENERGY-DISSIPATION DERIVED FROM TURBULENCE DATA [J].
AURELL, E ;
FRISCH, U ;
LUTSKO, J ;
VERGASSOLA, M .
JOURNAL OF FLUID MECHANICS, 1992, 238 :467-486
[3]   Multifractal statistics of Lagrangian velocity and acceleration in turbulence [J].
Biferale, L ;
Boffetta, G ;
Celani, A ;
Devenish, BJ ;
Lanotte, A ;
Toschi, F .
PHYSICAL REVIEW LETTERS, 2004, 93 (06) :064502-1
[4]   TURBULENT TRANSFER AND MIXING OF SUBMERGED HEATED WATER JET [J].
BOURODIMOS, EL .
WATER RESOURCES RESEARCH, 1972, 8 (04) :982-+
[5]   Multifractal subgrid-scale modeling for large-eddy simulation.: II.: Backscatter limiting and a posteriori evaluation -: art. no. 075112 [J].
Burton, GC ;
Dahm, WJA .
PHYSICS OF FLUIDS, 2005, 17 (07) :1-19
[6]   Mixing and entrainment in the near field of turbulent round jets [J].
Capone, Alessandro ;
Soldati, Alfredo ;
Romano, Giovanni Paolo .
EXPERIMENTS IN FLUIDS, 2013, 54 (01)
[7]   SIMULATION OF PARTICLE DISPERSION IN AN AXISYMMETRIC JET [J].
CHUNG, JN ;
TROUTT, TR .
JOURNAL OF FLUID MECHANICS, 1988, 186 :199-222
[8]   Velocity turbulence properties in the near-field region of axisymmetric variable density jets [J].
Djeridane, T ;
Amielh, M ;
Anselmet, F ;
Fulachier, L .
PHYSICS OF FLUIDS, 1996, 8 (06) :1614-1630
[9]  
Falconer K. J., 2003, FRACTAL GEOMETRY MAT, Vxxvii
[10]  
Feder J, 1988, FRACTALS PHYS SOLIDS