2018
DOI: 10.1016/j.ijheatfluidflow.2018.09.011
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A new approach for the calculation of the cut-off resolution parameter in bridging methods for turbulent flow simulation

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Cited by 28 publications
(12 citation statements)
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“…PANS BHR-LEVM model relies on f k , f ε , f ai , and f b to set the physical resolution. The parameter f k can be either set constant [27,52,56,57] or dynamically [56,[58][59][60] in space and time. Although the second approach may enhance the simulation's efficiency, we choose using constant values of f k to prevent commutation errors [32,33] and enable robust verification and validation exercises where one can evaluate numerical and modeling errors separately to avoid possible error canceling.…”
Section: Filter Control Parametermentioning
confidence: 99%
See 1 more Smart Citation
“…PANS BHR-LEVM model relies on f k , f ε , f ai , and f b to set the physical resolution. The parameter f k can be either set constant [27,52,56,57] or dynamically [56,[58][59][60] in space and time. Although the second approach may enhance the simulation's efficiency, we choose using constant values of f k to prevent commutation errors [32,33] and enable robust verification and validation exercises where one can evaluate numerical and modeling errors separately to avoid possible error canceling.…”
Section: Filter Control Parametermentioning
confidence: 99%
“…These are usually modeled in practical PANS computations (f k ≥ 0.20). Although f k and f ε can get closer in transient and/or transitional flows, the results available in the extensive PANS literature have shown that this approach is still good [27,42,46,47,52,56,57,59,[78][79][80]. In these cases, the resulting modeling shortcomings need to be compensated by slighter finer values of f k .…”
Section: Iii13 Parameter Selectionmentioning
confidence: 99%
“…As previously mentioned, the current version of PANS BHR-2 relies on f k and f ε to set the model's physical resolution. The parameter f k can be either defined constant [41,78,82,83] or dynamically [82,[84][85][86] in space and time. Whereas the first approach prevents commutation errors and the entanglement of numerical and modeling errors, the second can enhance the computations' efficiency.…”
Section: Ii3 Filter Control Parametermentioning
confidence: 99%
“…The challenges to modeling and simulation of RT type of flows with traditional mathematical models have recently motivated the authors to extend the partiallyaveraged Navier-Stokes (PANS) equations [52][53][54] to variable-density flow and propose the scale-aware BHR-LEVM (Besnard-Harlow-Rauenzahn-linear eddy viscosity model [55][56][57][58]) PANS closure [59,60]. We emphasize that the PANS model aims to operate at any degree of physical resolution (range of resolved scales or filter cutoff), from RANS to DNS, and strives to only resolve the flow scales not amenable to modeling [61].…”
Section: Introductionmentioning
confidence: 99%