Coupling of turbulence wall models and immersed boundaries on Cartesian grids

Cai, Shang-Gui; Degrigny, Johan; Boussuge, Jean‐François; Sagaut, Pierre

doi:10.1016/j.jcp.2020.109995

Cited by 36 publications

(18 citation statements)

References 79 publications

(197 reference statements)

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“…Spurious oscillations are frequently observed near surfaces where wall model is applied in the context of turbulent flows, especially on Cartesian grids 38 . The problem is well known and comes from the stair-step grid boundaries, inducing irregularities on the wall distances.…”

Section: F Coupling Of Wall Model With Immersed Boundaries On Cartesian Gridsmentioning

confidence: 99%

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Large-eddy lattice-Boltzmann modeling of transonic flows

et al. 2021

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A D3Q19 Hybrid Recursive Regularized Pressure based Lattice Boltzmann Method (HRR-P LBM) is assessed for the simulation of complex transonic flows. Mass and momentum conservation equations are resolved through a classical LBM solver coupled with a finite volume resolution of entropy equation for a complete compressible solver preserving stability, accuracy and computational costs. An efficient treatment for wall and open boundaries is coupled with a grid refinement technique and extended to the HRR-P LBM in the scope of compressible aerodynamics. A Vreman subgrid turbulence model and an improved coupling of immersed boundary method with turbulence wall model on Cartesian grid accounts for unresolved scales by Large-Eddy Simulation (LES). The validity of the present method for transonic applications is investigated through various test cases with increasing complexity starting from an inviscid flow over a 10% bump and ending with a turbulent flow over a ONERA M6 three-dimensional wing.

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Section: F Coupling Of Wall Model With Immersed Boundaries On Cartesian Gridsmentioning

confidence: 99%

“…To that end, we present, for our recent pressure-based compressible LB model 9,19 : (i) an algorithm to deal with mesh transitions, derived from state-of-the-art approaches [33][34][35] ; (ii) a subgrid turbulent model and a compatible wall-model adapted from the literature [36][37][38] ; and…”

Section: Introductionmentioning

confidence: 99%

Large-eddy lattice-Boltzmann modeling of transonic flows

et al. 2021

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“…In some other wall treatments, the velocity is first interpolated at an artificial point (often referred to as image point, or reference point) at an arbitrary wall distance, and the wall function is inverted based on this interpolated velocity and the chosen wall distance [17,59] . Accurately interpolating the highly non-linear velocity profile in turbulent boundary layers is very challenging, and inaccurate interpolations, such as the IDW (Inverse Distance Weighing) used in [17] , can lead to poor boundary layer modeling and oscillations in near-wall quantities [60] . Contrary to the fluid velocity, u τ typically varies smoothly and can thus be more easily interpolated accurately, even using simple methods [60] .…”

Section: Near-wall Interpolationmentioning

confidence: 99%

“…Accurately interpolating the highly non-linear velocity profile in turbulent boundary layers is very challenging, and inaccurate interpolations, such as the IDW (Inverse Distance Weighing) used in [17] , can lead to poor boundary layer modeling and oscillations in near-wall quantities [60] . Contrary to the fluid velocity, u τ typically varies smoothly and can thus be more easily interpolated accurately, even using simple methods [60] .…”

Section: Near-wall Interpolationmentioning

confidence: 99%

Improved wall model treatment for aerodynamic flows in LBM

et al. 2021

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“…The goal of the present paper is to illustrate and summarize an innovative CFD LES approach for the simulation of atmospheric and urban flows, developed in the framework of the ProLB software [14,15] and based on the LBM. Already used to study the aerodynamics of vehicles and airfoils [16][17][18], the approach was adapted to deal with atmospheric and urban physics problems. Thanks to its formulation and the treatment of boundary conditions, the approach is computationally effective.…”

Section: Introductionmentioning

confidence: 99%

Lattice Boltzmann Method-Based Simulations of Pollutant Dispersion and Urban Physics

et al. 2021

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Mesocale atmospheric flows that develop in the boundary layer or microscale flows that develop in urban areas are challenging to predict, especially due to multiscale interactions, multiphysical couplings, land and urban surface thermal and geometrical properties and turbulence. However, these different flows can indirectly and directly affect the exposure of people to deteriorated air quality or thermal environment, as well as the structural and energy loads of buildings. Therefore, the ability to accurately predict the different interacting physical processes determining these flows is of primary importance. To this end, alternative approaches based on the lattice Boltzmann method (LBM) wall model large eddy simulations (WMLESs) appear particularly interesting as they provide a suitable framework to develop efficient numerical methods for the prediction of complex large or smaller scale atmospheric flows. In particular, this article summarizes recent developments and studies performed using the hybrid recursive regularized collision model for the simulation of complex or/and coupled turbulent flows. Different applications to the prediction of meteorological humid flows, urban pollutant dispersion, pedestrian wind comfort and pressure distribution on urban buildings including uncertainty quantification are especially reviewed. For these different applications, the accuracy of the developed approach was assessed by comparison with experimental and/or numerical reference data, showing a state of the art performance. Ongoing developments focus now on the validation and prediction of indoor environmental conditions including thermal mixing and pollutant dispersion in different types of rooms equipped with heat, ventilation and air conditioning systems.

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Coupling of turbulence wall models and immersed boundaries on Cartesian grids

Cited by 36 publications

References 79 publications

Large-eddy lattice-Boltzmann modeling of transonic flows

Large-eddy lattice-Boltzmann modeling of transonic flows

Improved wall model treatment for aerodynamic flows in LBM

Lattice Boltzmann Method-Based Simulations of Pollutant Dispersion and Urban Physics

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