2018
DOI: 10.1016/j.ijmultiphaseflow.2018.06.005
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Direct Simulation Monte-Carlo predictions of coarse elastic particle statistics in fully developed turbulent channel flows: Comparison with deterministic discrete particle simulation results and moment closure assumptions

Abstract: Direct. Simulation Monte-Carlo prediction of coarse elastic particle statistics in fully developed turbulent channel flows: comparison with deterministic discrete particle simulation results and moment closure assumptions.

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Cited by 7 publications
(6 citation statements)
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“…(1997) (see also Sommerfeld 2001; Fede et al. 2015; Fede & Simonin 2018) derived analytically the fluid–particle destruction term at a given distance. Replacing the collision time scale with the electric one, it is written as where is the fluid velocity spatial auto-correlation function, with the asymptotic behaviours (more precisely it is for ) and for large distances .…”
Section: Modification Of Particle Kinetic Energy and Fluid–particle V...mentioning
confidence: 99%
See 1 more Smart Citation
“…(1997) (see also Sommerfeld 2001; Fede et al. 2015; Fede & Simonin 2018) derived analytically the fluid–particle destruction term at a given distance. Replacing the collision time scale with the electric one, it is written as where is the fluid velocity spatial auto-correlation function, with the asymptotic behaviours (more precisely it is for ) and for large distances .…”
Section: Modification Of Particle Kinetic Energy and Fluid–particle V...mentioning
confidence: 99%
“…To explain a pathological non-physical destruction of the fluid-particle covariance, observed in the Lagrangian stochastic approach, Laviéville et al (1997) (see also Sommerfeld 2001;Fede et al 2015;Fede & Simonin 2018) derived analytically the fluid-particle destruction term at a given distance. Replacing the collision time scale with the electric one, it is written as…”
Section: Modification Of Particle Kinetic Energy and Fluid-particle V...mentioning
confidence: 99%
“…Once MP particles are introduced into the subsurface environment, their physical state and surface chemistries are altered via aggregation and degradation processes that change their size and density, which determines whether they settle/deposit or remain in suspension within the groundwater system (Lagarde et al 2016). Once in groundwater their movement can be described as a two-phase solid-fluid and, by applying the DLVO theory to predict fate and transport of MPs in the subsurface, the trajectory of particles can be traced considering both the inter-particle collisions and the collisions between particles and the aquifer matrix flow (e.g., Wiberg and Smith 1985;Critchell and Lambrechts 2016;Cai et al 2018Cai et al , 2019Fede and Simonin 2018;Li et al 2018;Chu et al 2019;Jalon-Rojas et al 2019;Wu et al 2020). However, the DLVO theory only approximately describes the MP particle interactions in groundwater since there will always be discrete, small-scale surface heterogeneities and hydrophobic/solvation effects that cannot be completed accounted for.…”
Section: Saturated Zone Transportmentioning
confidence: 99%
“…Once in groundwater their movement can be described as a two‐phase solid–fluid and, by applying the DLVO theory to predict fate and transport of MPs in the subsurface, the trajectory of particles can be traced considering both the inter‐particle collisions and the collisions between particles and the aquifer matrix flow (e.g., Wiberg and Smith 1985; Critchell and Lambrechts 2016; Cai et al. 2018, 2019; Fede and Simonin 2018; Li et al. 2018; Chu et al.…”
Section: Fate and Transport In Hydrogeologic Systemsmentioning
confidence: 99%
“…However, the Lagrangian one can demonstrate the trajectories of individual particles and dealing with the inter-particle collision and the particle-wall collision according to particles' properties. Many research describe the particle-tracking method [9][10][11] and inter-particle collision [12][13][14][15][16]. Commonly, these models were applied to the sediment dynamics simulation as well [17,18].…”
Section: Introductionmentioning
confidence: 99%