Statistics of particle dispersion in direct numerical simulations of wall-bounded turbulence:: Results of an international collaborative benchmark test

被引:196
作者
Marchioli, C. [1 ,2 ]
Soldati, A. [1 ,2 ]
Kuerten, J. G. M. [3 ]
Arcen, B. [4 ]
Taniere, A. [4 ]
Goldensoph, G. [5 ]
Squires, K. D. [5 ]
Cargnelutti, M. F. [6 ]
Portela, L. M. [6 ]
机构
[1] Univ Udine, Dept Energy Technol, I-33100 Udine, Italy
[2] Univ Udine, Ctr Interdipartimentale Fluidodinam & Idraul, I-33100 Udine, Italy
[3] Tech Univ Eindhoven, Dept Mech Engn, NL-5600 MB Eindhoven, Netherlands
[4] Nancy Univ, LEMTA, CNRS, ESSTIN, Vandoeuvre Les Nancy, France
[5] Arizona State Univ, Dept Mech & Aerosp Engn, Tempe, AZ 85287 USA
[6] Tech Univ Delft, Dept Multiscale Phys, Delft, Netherlands
关键词
collaborative test case; two-phase gas-solid now; direct numerical simulation; Lagrangian particle tracking; steady-state concentration database;
D O I
10.1016/j.ijmultiphaseflow.2008.01.009
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In this paper the results of an international collaborative test case relative to the production of a direct numerical simulation and Lagrangian particle tracking database for turbulent particle dispersion in channel flow at low Reynolds number are presented. The objective of this test case is to establish a homogeneous source of data relevant to the general problem of particle dispersion in wall-bounded turbulence. Different numerical approaches and computational codes have been used to simulate the particle-laden flow and calculations have been carried on long enough to achieve a statistically steady condition for particle distribution. In such stationary regime, a comprehensive database including both post-processed statistics and raw data for the fluid and for the particles has been obtained. The complete datasets can be downloaded from the web a HTTP://CFD.CINECA.IT/CFD/REPOSITORY/. In this paper the most relevant velocity statistics (for both phases) and particle distribution statistics are discussed and benchmarked by direct comparison between the different numerical predictions. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:879 / 893
页数:15
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