2018
DOI: 10.1016/j.buildenv.2018.07.046
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Literature review on pressure–velocity decoupling algorithms applied to built-environment CFD simulation

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Cited by 48 publications
(9 citation statements)
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“…To realize the accurate simulation of the unsteady aerodynamic characteristics of the train with the aerodynamic braking plate, FLUENT software's pressurebased solver was used, and pressure-velocity coupling was resolved by the semi-implicit method for pressurelinked equations-consistent (SIMPLEC) (Jang et al, 1986;Latimer & Pollard, 1985;Van Doormaal & Raithby, 1984;Wang et al, 2018a). Convection terms and dissipation terms in equations were dispersed by the bounded central differencing and second-order upwind scheme.…”
Section: Methodsmentioning
confidence: 99%
“…To realize the accurate simulation of the unsteady aerodynamic characteristics of the train with the aerodynamic braking plate, FLUENT software's pressurebased solver was used, and pressure-velocity coupling was resolved by the semi-implicit method for pressurelinked equations-consistent (SIMPLEC) (Jang et al, 1986;Latimer & Pollard, 1985;Van Doormaal & Raithby, 1984;Wang et al, 2018a). Convection terms and dissipation terms in equations were dispersed by the bounded central differencing and second-order upwind scheme.…”
Section: Methodsmentioning
confidence: 99%
“…In numerical simulations, the momentum and pressure were solved using a second-order upwind scheme and a second-order scheme, respectively. The pressure-velocity coupling was calculated using the SIMPLE algorithm [101]. The solution gradients were evaluated by direct interpolation using a least squares method at the center of each cell.…”
Section: Non-linear Fluid Flow Modelling In Fracture Intersectionsmentioning
confidence: 99%
“…Unlike a coupled solution, a single approach solves the velocity and pressure fields independently or sequentially. It has the benefit of reducing computer memory and processing time, making it more effective for studying incompressible environment simulation fluids, as in our case for aortic stenosis modeling [36]. The pressure analysis of the proposed model is shown in Figure 16.…”
Section: Setting Of the Solutionmentioning
confidence: 99%