Flow modulation by a few fixed spherical particles in a turbulent channel flow

Peng, Cheng; Ayala, Orlando; Wang, Lian‐Ping

doi:10.1017/jfm.2019.933

Cited by 13 publications

(11 citation statements)

References 55 publications

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“…Finally, the ‘collision-streaming’ algorithm in the standard LBM involves information exchange only among neighbouring lattice nodes, making it highly efficient in large-scale parallel computations (Peng, Ayala & Wang 2019; Fei et al. 2020; Peng, Ayala & Wang 2020; Wang, Fei & Luo 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Compared with PNMs, the LBM is a more accurate pore-scale method since the bounce-back type of boundary schemes in the LBM is very suitable for realistic and complex pore structures (Liu et al 2016;Chen et al 2022), discarding the need for large simplification of real geometries. Finally, the 'collision-streaming' algorithm in the standard LBM involves information exchange only among neighbouring lattice nodes, making it highly efficient in large-scale parallel computations (Peng, Ayala & Wang 2019;Fei et al 2020;Peng, Ayala & Wang 2020;Wang, Fei & Luo 2022).…”

Section: Introductionmentioning

confidence: 99%

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Lattice Boltzmann modelling of isothermal two-component evaporation in porous media

et al. 2023

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A mesoscopic lattice Boltzmann model is implemented for modelling isothermal two-component evaporation in porous media. The model is based on the pseudopotential multiphase model with two components to mimic the phase-change component (e.g. water and its vapour) and the non-condensible component (e.g. dry air), and the cascaded collision operator is used to enhance the numerical performance. The model is first analysed based on Chapman–Enskog expansion and then validated by the theoretical solution of an isothermal diffusive evaporation problem. We then discuss in detail the implementation of wettability based on a geometric function scheme and further validate the model with microfluidic evaporation experiments. We apply the method to simulate the convective evaporation of a dual-porosity medium and investigate the effects of inflow vapour concentration ( ${Y_{vapour,in}}$ ) and contact angle ( $\theta$ ) on the evaporation. Simulation results reproduce the typical transition from the constant evaporation regime (CRP) at large liquid saturation (S) to the receding front period (RFP) at small S, with an intermediate falling rate period in between. The dependence of the average evaporation rates on ${Y_{vapour,in}}$ and $\theta$ during CRP and RFP is investigated. A universal scaling formulation for the evaporation rate during CRP is found with respect to the concentration-related mass transfer number $B_Y$ , contact angle $\theta$ and inflow Reynolds number Re, i.e. $E{R_{CRP}} = {k_3}\ln \left ( {1 + {B_Y}} \right ) {\cdot } \left [ {\ln \left ( {1 + {Re}} \right ) + {k_2}} \right ]\left [ {\cos (\theta ) + {k_1}} \right ]$ , where ${k_1}$ , ${k_2}$ and ${k_3}$ are fitting parameters.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lattice Boltzmann modelling of isothermal two-component evaporation in porous media

et al. 2023

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“…Here we focus on sediment-turbulence interactions with relatively low sediment volume fractions as a supplement of those previous studies. As the driving force per unit volume is fixed in all cases, low sediment volume fractions are chosen to avoid introducing too large attenuation to the turbulent kinetic energy, as reported by Peng et al [16].…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Specifically, using the interpolated bounce-back (IBB) schemes to treat the noslip boundary condition can easily ensure a second-order accuracy, which has been shown to result in more accurate results in particulate flow simulations than the commonly used diffused-interface immersed boundary method (IBM) [13]. This relatively new approach has been convincingly validated and benchmarked in various particle-laden turbulent flows, such as homogeneous isotropic flows [14], pipe flows [15], and channel flows [16]. In light of these previous studies, we chose the IBB-based LBM as our numerical method to conduct IRDNS to investigate sediment-turbulence interactions in the present study.…”

Section: Introductionmentioning

confidence: 99%

Direct Numerical Simulation of Sediment Transport in Turbulent Open Channel Flow Using the Lattice Boltzmann Method

Dong

Peng

et al. 2021

Fluids

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The lattice Boltzmann method is employed to conduct direct numerical simulations of turbulent open channel flows with the presence of finite-size spherical sediment particles. The uniform particles have a diameter of approximately 18 wall units and a density of ρp=2.65ρf, where ρp and ρf are the particle and fluid densities, respectively. Three low particle volume fractions ϕ=0.11%, 0.22%, and 0.44% are used to investigate the particle-turbulence interactions. Simulation results indicate that particles are found to result in a more isotropic distribution of fluid turbulent kinetic energy (TKE) among different velocity components, and a more homogeneous distribution of the fluid TKE in the wall-normal direction. Particles tend to accumulate in the near-wall region due to the settling effect and they preferentially reside in low-speed streaks. The vertical particle volume fraction profiles are self-similar when normalized by the total particle volume fractions. Moreover, several typical transport modes of the sediment particles, such as resuspension, saltation, and rolling, are captured by tracking the trajectories of particles. Finally, the vertical profiles of particle concentration are shown to be consistent with a kinetic model.

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“…A number of different particle-resolved simulation approaches have been developed for particle-laden flows, like the immersed boundary (IB) method (Mittal and Iaccarino, 2005;Uhlmann, 2005;Luo et al, 2007;Breugem, 2012;Kempe and Fröhlich, 2012b;Zhou and Fan, 2014;Tao et al, 2018;Huang and Tian, 2019;Wang et al, 2019) and the distributed Lagrange multiplier (DLM)/fictitious domain approach (Glowinski et al, 1999(Glowinski et al, , 2001Shao, 2007, 2010;Shao et al, 2012;Yu et al, 2021). Particle-resolved simulations have been commonly used to obtain high-fidelity simulation data, which is greatly helpful for developing reduced-order models (Bagchi and Balachandar, 2003;Eaton, 2009;Homann et al, 2013;Wang et al, 2022;Xia et al, 2022;Zhu et al, 2022) or studying the mechanism of the fluid-particle interactions (Uhlmann, 2008;Kidanemariam and Uhlmann, 2014b;Vreman, 2016;Vowinckel et al, 2016;Luo et al, 2017;Peng et al, 2020). The focus of the paper is on a collision algorithm for particles in particle-resolved simulations.…”

Section: Introductionmentioning

confidence: 99%

A multiple-time-step integration algorithm for particle-resolved simulation with physical collision time

Zhu¹,

Hu²,

Zheng³

2022

Preprint

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In this paper, we present a multiple-time-step integration algorithm (MTSA) for particle collisions in particle-resolved simulations of particle-laden flows. Since the time step required for resolving a collision process is much smaller than that for the fluid flow, the computational cost obtained by reducing the time step in the traditional soft-sphere model is quite high in particleresolved simulations of more than thousands of particles. In one state-of-theart methodology, the collision time needs to be stretched to several times the flow solver time step. However, the stretched collision time is artificial and not physical, and the simulation results are affected by the stretched collision time. The present MTSA used different time steps to resolve the fluid flow, fluid-particle interactions, and particle collisions. We assessed the MTSA for particle-wall collisions as well as particle-particle collisions, determined the optimal iteration number in the substeps, and obtained excellent agreement between experimental measurements and simulation results using the traditional soft-sphere model. The MTSA was then implemented in a simulation of sediment transport (turbulent flow over an erodible particle bed) with thousands of particles. By comparing the results obtained using the MTSA and the stretching collision time algorithm, we found that stretching the collision time reduced the particle stiffness, weakened the particle entrainment, and affected the turbulence and particle statistics. The computational cost of the MTSA could be reduced to about one order of magnitude less than that using the traditional soft-sphere model with almost the same accuracy.

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Flow modulation by a few fixed spherical particles in a turbulent channel flow

Cited by 13 publications

References 55 publications

Lattice Boltzmann modelling of isothermal two-component evaporation in porous media

Lattice Boltzmann modelling of isothermal two-component evaporation in porous media

Direct Numerical Simulation of Sediment Transport in Turbulent Open Channel Flow Using the Lattice Boltzmann Method

A multiple-time-step integration algorithm for particle-resolved simulation with physical collision time

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