Effects of wall function model in lattice Boltzmann method-based large-eddy simulation on built environment flows
Sign Up to like & getrecommendations! Published in 2021 at "Building and Environment"
DOI: 10.1016/j.buildenv.2021.107764
Abstract: Abstract Bounce-back boundary (BB), the popular wall boundary in lattice Boltzmann method (LBM), corresponds to the no-slip boundary and does not provide an accurate shear drag on walls in some cases. This study discusses a… read more here.
Keywords: built environment; wall; simulation; wall function ... See more keywords
Wall-function method used to simplify the solid oxide fuel cell model
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Power Sources"
DOI: 10.1016/j.jpowsour.2021.230396
Abstract: Abstract Numerical model is a powerful tool in the solid oxide fuel cell (SOFC) study, but its application is seriously restricted by the tremendous demand of computational resources and time due to the high aspect… read more here.
Keywords: model; function method; wall function;
Rheology-based wall function approach for wall-bounded turbulent flows of Herschel–Bulkley fluids
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DOI: 10.1063/5.0180663
Abstract: Modeling fully developed turbulent flow for Herschel–Bulkley (HB) fluids in pipes is a long-standing challenge. Existing semi-empirical, theoretical, and numerical methods are either inconsistent with experimental data or are validated for low Reynolds numbers. This… read more here.
Keywords: rheology; herschel bulkley; bulkley fluids; wall function ... See more keywords
A generalised wall function including compressibility and pressure-gradient terms for the Spalart–Allmaras turbulence model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Turbulence"
DOI: 10.1080/14685248.2019.1691730
Abstract: ABSTRACT Spalart-Allmaras (SA) model is a low Reynolds number (Re) model, which means that the first off-wall grid point should be placed in the viscous sub-layer with . This restriction of placing the first off-wall… read more here.
Keywords: model; pressure gradient; wall function;
Hybrid LES/RANS for flows including separation: a new wall function using machine learning based on binary search trees
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Turbulence"
DOI: 10.1080/14685248.2025.2476430
Abstract: Machine Learning (ML) is used for developing wall functions for Improved Delayed Detached Eddy Simulations (IDDES). The ML model is based on KDTree which essentially is a fast look-up table. It searches the nearest target… read more here.
Keywords: wall; wall function; new wall; machine learning ... See more keywords