Comparison of Large Eddy Simulation and Experimental Results of the Flow Around a Forward-Backward Facing Step

Author(s):  
Corinne Talotte ◽  
Yacine Addad ◽  
Dominique Laurence ◽  
Marc Jacob ◽  
He´le`ne Giardi ◽  
...  

SNCF (Socie´te´ Nationale des Chemins de Fer franc¸ais), PSA (Peugeot Citroe¨n), EDF (Electricite´ de France) and ECL (Ecole Centrale de Lyon) are involved in a common project whose issue is the potential evaluation of numerical simulation in aeroacoustics for transport applications. One of the methods chosen in the project consists in the calculation of the aeroacoustic source term through a Large Eddy Simulation (LES) and its implementation into a code based on the Linearized Euler’s Equations for the acoustic propagation (LEE). This paper presents a comparison of LES and experimental results of the aerodynamic field around a forward-backward facing step and the principle of the chain-up of LES results and LEE calculations.

2019 ◽  
Vol 213 ◽  
pp. 02076
Author(s):  
Jan Sip ◽  
Frantisek Lizal ◽  
Jakub Elcner ◽  
Jan Pokorny ◽  
Miroslav Jicha

The velocity field in the area behind the automotive vent was measured by hot-wire anenemometry in detail and intensity of turbulence was calculated. Numerical simulation of the same flow field was performed using Computational fluid dynamics in commecial software STAR-CCM+. Several turbulence models were tested and compared with Large Eddy Simulation. The influence of turbulence model on the results of air flow from the vent was investigated. The comparison of simulations and experimental results showed that most precise prediction of flow field was provided by Spalart-Allmaras model. Large eddy simulation did not provide results in quality that would compensate for the increased computing cost.


2008 ◽  
Vol 65 (7) ◽  
pp. 2437-2447 ◽  
Author(s):  
V. M. Canuto ◽  
Y. Cheng ◽  
A. M. Howard ◽  
I. N. Esau

Abstract A large set of laboratory, direct numerical simulation (DNS), and large eddy simulation (LES) data indicates that in stably stratified flows turbulent mixing exists up to Ri ∼ O(100), meaning that there is practically no Ri(cr). On the other hand, traditional local second-order closure (SOC) models entail a critical Ri(cr) ∼ O(1) above which turbulence ceases to exist and are therefore unable to explain the above data. The authors suggest how to modify the recent SOC model of Cheng et al. to reproduce the above data for arbitrary Ri.


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