Computational Fluid Dynamics Study of Air Flow Characteristics in the Columbus Module

Смирнов, Е. М.; Ivanov, Nikolay; Telnov, Denis S.; Son, Chang H.; Aksamentov, Valery

doi:10.4271/2004-01-2500

Cited by 16 publications

(13 citation statements)

References 1 publication

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“…The difference between Vm and Va is about 50% in the mixing layer and almost everywhere in the recirculation zone where velocities are low; it is up to 80% and even higher in the regions of the lowest velocity values (near the left side wall -below the inlet, and in the center of the recirculation zone). Figure 9 shows the difference between the LESobtained Va field and the Va distribution computed using the Vm field (averaged from the same LES data) with the correction procedure proposed by Smirnov et al [9]:…”

Section: Mean Velocity and Mean Speed Discussionmentioning

confidence: 99%

“…The computational data demonstrated the level of the difference between Vm and Va values both in the jet zone with relatively high velocity values [11] and in the low-velocity occupied zone [12]. As well, three Vm data correction correlations available in the literature [6,7,9] were tested in [12]. For all three correlations, the Va fields processed from the Vm distributions were close to each other and to the mean speed distributions extracted directly from the LES data almost everywhere in the airflow domain, except small particular regions (e.g., the mixing layers).…”

Section: Introductionmentioning

confidence: 92%

“…Figure 11 compares the profiles of Vm and Va for the WMLES and URANS approaches. In both the cases Vmfields are directly extracted from the solutions, while Vafields are evaluated using the correction procedure according to equation (6) [9]. Note that for WMLES and URANS data processing different k distributions were used (resolved k for WMLES and modeled k for URANS).…”

Section: A -V Amentioning

confidence: 99%

“…Therefore, LES computations provide both Vm and Va fields that could be used for Vm data processing procedures development and testing. In [9,10] a theoretically developed procedure of Vm processing has been proposed and examined using both the LES and the cabin ventilation qualification test data for the International Space Station pressurized module Columbus.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of mean velocity and mean speed for test ventilated room from RANS and LES CFD modeling

et al. 2019

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The paper presents and discusses data for the ventilation airflow in an isothermal room corresponding to the Nielsen et al. (1978) test computed with Large Eddy Simulation (LES) and Reynolds-Averaged Navier-Stokes (RANS) approaches. As LES computations provide directly both the speed and velocity components data, the difference between the mean speed and mean velocity values is computed and discussed. For the RANS computations that give the mean velocity data only, application of the velocity-to-speed conversion procedure based on the turbulence kinetic energy field provided by a turbulence model resulted in accurate mean speed evaluation.

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Section: Mean Velocity and Mean Speed Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 92%

Section: A -V Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of mean velocity and mean speed for test ventilated room from RANS and LES CFD modeling

et al. 2019

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“…However, some theoretical considerations given in Smirnov et al (2004) resulted in a more justified relation, given by:…”

Section: Cabin Air Velocity Distributionmentioning

confidence: 98%

CFD Modelling of Cabin Air Ventilation in the International Space Station: A Comparison of RANS and LES Data with Test Measurements for the Columbus Module

Смирнов

Ivanov

Telnov

et al. 2006

International Journal of Ventilation

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Ventilation characteristics of the Columbus module are numerically predicted on the basis of the ReynoldsAveraged Navier-Stokes (RANS) and Large Eddy Simulation (LES) approaches. The steady-state RANS computations were performed using the high-Reynolds-number k-ε turbulence model, and the SmagorinskyLilly subgrid-scale model was used for LES. The computed results were compared with experimental data available for spatial distributions of the time-averaged absolute velocity magnitude. On the basis of LES data, distinctions in the fields of this quantity and the whole mean velocity were analysed. A procedure for evaluation of the time-averaged absolute velocity spatial distributions using RANS data on the mean velocity and the turbulent kinetic energy is suggested and examined.

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Experimental and numerical study of space station airflow distribution under microgravity condition

Wang

Liu

Shang

et al. 2018

Building and Environment

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Computational Fluid Dynamics Study of Air Flow Characteristics in the Columbus Module

Cited by 16 publications

References 1 publication

Evaluation of mean velocity and mean speed for test ventilated room from RANS and LES CFD modeling

Evaluation of mean velocity and mean speed for test ventilated room from RANS and LES CFD modeling

CFD Modelling of Cabin Air Ventilation in the International Space Station: A Comparison of RANS and LES Data with Test Measurements for the Columbus Module

Experimental and numerical study of space station airflow distribution under microgravity condition

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