2019
DOI: 10.1016/j.cesx.2019.100009
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A quantitative and generalized assessment of bubble-induced turbulence models for gas-liquid systems

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Cited by 12 publications
(11 citation statements)
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“…Magolan et al. compared a multitude of BIT models with experimental data from Liu . They analyze the differences of the models and the deviations from the measurements.…”
Section: Two‐phase Systemsmentioning
confidence: 99%
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“…Magolan et al. compared a multitude of BIT models with experimental data from Liu . They analyze the differences of the models and the deviations from the measurements.…”
Section: Two‐phase Systemsmentioning
confidence: 99%
“…Examples where LES was applied successfully for bubbly flows can be found in [131,132]. Magolan et al [133] compared a multitude of BIT models with experimental data from Liu [134]. They analyze the differences of the models and the deviations from the measurements.…”
Section: Turbulence Modelingmentioning
confidence: 99%
“…The size of the first cell at the wall (Δ 1 ) influences the turbulence model through the y + , as well as the wall lubrication force. The first grid spacing near the wall (and its corresponding y + value of 16) for M1 is within the range commonly used for this problem in previous studies [39] [43] [44] [69]. The first node distance is within the active range for all wall lubrication forces considered.…”
Section: Mesh Sensitivity Studymentioning
confidence: 99%
“…Over the last three decades, remarkable works have been accomplished in developing two-equation RANS models with source terms capturing the so-called bubble-induced turbulence (BIT) (Lopez de Bertodano et al, 1994;Morel, 1997;Troshko and Hassan, 2001;Rzehak and Krepper, 2013;Colombo and Fairweather, 2015;Ma, 2017;Vaidheeswaran and Hibiki, 2017;Liu et al, 2018;Liao et al, 2019;Magolan et al, 2019). These linear eddy-viscosity models take the bubble influence into account by adding source terms in the turbulence transport equations for both the turbulent kinetic energy (TKE, k) and a turbulence length-scale related parameter, e.g., the turbulence dissipation rate ε.…”
Section: Introductionmentioning
confidence: 99%