A lattice Boltzmann approach for solving scalar transport equations

Zhang, Raoyang; Fan, Hongli; Chen, Hudong

doi:10.1098/rsta.2011.0019

Cited by 36 publications

(12 citation statements)

References 17 publications

(31 reference statements)

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“…For scalar fields like the total water specific humidity it is possible to use either another set of distribution functions (Zhang et al, 2011) or a hybrid approach in which conservation equations for these quantities are solved using a classical finite volume/finite difference method. The hybrid approach is used here, in order to minimize the number of degrees of freedom per cell of the global method.…”

Section: Finite Volume Methods For Advected Scalar Quantitiesmentioning

confidence: 99%

ProLB: A lattice Boltzmann solver of large-eddy simulation for atmospheric boundary layer flows

Feng

Miranda

Guo

et al. 2020

Preprint

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The atmospheric boundary layer (ABL) ranges from hundreds of meters to several kilometers depending on meteorological conditions, mainly wind, temperature, and humidity. Thus, structure of ABL is modified by the daily cycle of heating and cooling over Earth's surface producing three canonical types of boundary layers: convective or unstable, neutral, and stable boundary layers. Convective boundary layer is commonly observed during day when the surface is heated by the sun resulting in a positive buoyancy force, while stable boundary layer occurs during night when surface is cooled by radiation producing a negative buoyancy force, and neutral boundary layer is the case between the former two with little or no buoyancy.The structure of ABL has an important effect on anthropic activities such as mesoscale weather forecasting or pollutant dispersion in urban areas (Fernando et al., 2001). To better understand ABL and related urban processes, numerical simulation is a good complement to field measurements and wind tunnel experiments (Blocken, 2015). In the past much attention has been paid to the accurate CFD modeling of the ABL, both using Reynolds-averaged Navier-Stokes and large-eddy simulation (LES) approaches.LES (Sagaut, 2006), which is a high-fidelity approach for the unsteady simulation of turbulent flows, has been successfully applied to simulation of ABL (e.g.,

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Section: Finite Volume Methods For Advected Scalar Quantitiesmentioning

confidence: 99%

ProLB: A lattice Boltzmann solver of large-eddy simulation for atmospheric boundary layer flows

Feng

Miranda

Guo

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…For scalar fields like the total water specific humidity it is possible to use either another set of distribution functions (Zhang et al., 2011) or a hybrid approach in which conservation equations for these quantities are solved using a classical finite volume/finite difference method. The hybrid approach is used here, in order to minimize the number of degrees of freedom per cell of the global method.…”

Section: Numerical Method: Hybrid Lattice Boltzmann Solvermentioning

confidence: 99%

ProLB: A Lattice Boltzmann Solver of Large‐Eddy Simulation for Atmospheric Boundary Layer Flows

Feng

Fuentes

Guo

et al. 2021

J Adv Model Earth Syst

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The atmospheric boundary layer (ABL) ranges from hundreds of meters to several kilometers depending on meteorological conditions, mainly wind, temperature, and humidity. Thus, structure of ABL is modified by the daily cycle of heating and cooling over Earth's surface producing three canonical types of boundary layers: convective or unstable, neutral, and stable boundary layers. Convective boundary layer is commonly observed during day when the surface is heated by the sun resulting in a positive buoyancy force, while stable boundary layer occurs during night when surface is cooled by radiation producing a negative buoyancy force, and neutral boundary layer is the case between the former two with little or no buoyancy. The structure of ABL has an important effect on anthropic activities such as mesoscale weather forecasting or pollutant dispersion in urban areas (Fernando et al., 2001). To better understand ABL and related urban processes, numerical simulation is a good complement to field measurements and wind tunnel experiments (Blocken, 2015). In the past much attention has been paid to the accurate CFD modeling of the ABL, both using Reynolds-averaged Navier-Stokes and large-eddy simulation (LES) approaches. LES (Sagaut, 2006), which is a high-fidelity approach for the unsteady simulation of turbulent flows, has been successfully applied to simulation of ABL (e.g.,

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“…In this model we use a two distribution function method: The hydrodynamic movement is calculated via a 2D LBM framework with a volume of fluid approach for free surfaces [ 41 ]. The passive scalar model of Zhang et al [ 42 ] is used to determine the thermal field. For a closer description of the basic model see [ 15 ].…”

Section: Methodsmentioning

confidence: 99%

Predictive Simulation of Process Windows for Powder Bed Fusion Additive Manufacturing: Influence of the Powder Bulk Density

et al. 2017

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The resulting properties of parts fabricated by powder bed fusion additive manufacturing processes are determined by their porosity, local composition, and microstructure. The objective of this work is to examine the influence of the stochastic powder bed on the process window for dense parts by means of numerical simulation. The investigations demonstrate the unique capability of simulating macroscopic domains in the range of millimeters with a mesoscopic approach, which resolves the powder bed and the hydrodynamics of the melt pool. A simulated process window reveals the influence of the stochastic powder layer. The numerical results are verified with an experimental process window for selective electron beam-melted Ti-6Al-4V. Furthermore, the influence of the powder bulk density is investigated numerically. The simulations predict an increase in porosity and surface roughness for samples produced with lower powder bulk densities. Due to its higher probability for unfavorable powder arrangements, the process stability is also decreased. This shrinks the actual parameter range in a process window for producing dense parts.

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A lattice Boltzmann approach for solving scalar transport equations

Cited by 36 publications

References 17 publications

ProLB: A lattice Boltzmann solver of large-eddy simulation for atmospheric boundary layer flows

ProLB: A lattice Boltzmann solver of large-eddy simulation for atmospheric boundary layer flows

ProLB: A Lattice Boltzmann Solver of Large‐Eddy Simulation for Atmospheric Boundary Layer Flows

Predictive Simulation of Process Windows for Powder Bed Fusion Additive Manufacturing: Influence of the Powder Bulk Density

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