2013
DOI: 10.1201/b15090
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Large-Eddy Simulation in Hydraulics

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Cited by 133 publications
(127 citation statements)
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“…Prediction of the flow field can be established by performing economical RANS simulations with standard k-ε models. Though, it should be kept in mind that RANS simulations have difficulties in coping adequately with complex flow phenomena, such as large-scale turbulence structures Rodi, Conatantinescu, & Stoesser, 2013), and one should strive to avoid installing the instrument in or close to recirculation zones.…”
Section: Resultsmentioning
confidence: 99%
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“…Prediction of the flow field can be established by performing economical RANS simulations with standard k-ε models. Though, it should be kept in mind that RANS simulations have difficulties in coping adequately with complex flow phenomena, such as large-scale turbulence structures Rodi, Conatantinescu, & Stoesser, 2013), and one should strive to avoid installing the instrument in or close to recirculation zones.…”
Section: Resultsmentioning
confidence: 99%
“…In the last decades the computer power has kept increasing, and this has revealed that RANS models have limitations, especially when applied for coherent structures. Recent development has provided methods such as Large Eddy Simulations (LES), where the large scales are resolved and the small scales are model (Rodi, Conatantinescu, & Stoesser, 2013). Another recent method is the Detached Eddy Simulation (DES), which is a hybrid modeling approach where RANS closure is applied in some parts of the flow field and LES in others (CD-adapco, 2009).…”
Section: Engineering Applications Of Computational Fluid Mechanicsmentioning
confidence: 99%
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“…The diffusive terms are approximated by fourth-order central differences while convective fluxes in the momentum and level-set equations are approximated using a fifth-order weighted, essentially non-oscillatory (WENO) scheme. Rodi, Constantinescu, and Stoesser (2013) state that the accuracy and credibility of a code can be justified by the use of high-order spatial discretization schemes together with sufficiently fine grids. A fractional-step method is used with a Runge-Kutta predictor and the multigrid method is used as a corrector of the final step when solving the Poisson pressure-correction equation.…”
Section: Numerical Framework and Computational Considerationsmentioning
confidence: 99%