2020
DOI: 10.1016/j.asej.2020.03.017
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Visualization of elbow flow performance as shaft spillway

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Cited by 4 publications
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“…Although the k-ε turbulent models have been widely applied to flow simulations because of the fine convergence and computational efficiency [37][38][39], the RNG k-ε turbulence model proposed by Yakhot and Orzag, by providing an additional coefficient correcting the turbulent viscosity and taking into account the average rotational motion, can effectively process the strong swirling flow or curved wall jet under high Reynolds number [40]. Furthermore, regarding to previous research [2,24,41] were found that the RNG k-ε turbulence model can give the best prediction of the jet flow in such shaft spillway. Accordingly, this turbulence model was utilized to model the intricate flow in the VDS spillways via ANSYS 16.0 software, Fluent.…”
Section: Numerical Simulation 31 Governing Equationsmentioning
confidence: 98%
“…Although the k-ε turbulent models have been widely applied to flow simulations because of the fine convergence and computational efficiency [37][38][39], the RNG k-ε turbulence model proposed by Yakhot and Orzag, by providing an additional coefficient correcting the turbulent viscosity and taking into account the average rotational motion, can effectively process the strong swirling flow or curved wall jet under high Reynolds number [40]. Furthermore, regarding to previous research [2,24,41] were found that the RNG k-ε turbulence model can give the best prediction of the jet flow in such shaft spillway. Accordingly, this turbulence model was utilized to model the intricate flow in the VDS spillways via ANSYS 16.0 software, Fluent.…”
Section: Numerical Simulation 31 Governing Equationsmentioning
confidence: 98%