Theoretical/numerical model for the transport of non-uniform suspended sediment in open channels

Jha, Sanjeev; Bombardelli, Fabián A.

doi:10.1016/j.advwatres.2011.02.001

Cited by 50 publications

(14 citation statements)

References 54 publications

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“…4-2.11 (sand), Sc t = 0.22-0.52 (nylon) Toorman [52] Sediment-laden open channel flows Exp/Num − Sc t = 0.5-0.8 Bombardelli and Jha [40] Sediment-laden open channel flows Exp/Num − Sc t = 0.56-0.7 (dilute mixtures) Jha and Bombardelli [44][45][46] Sediment-laden open channel flows Exp/Num − Sc t = 0.4-0.9 (k-ε model) Jha [43] Sediment-laden open channel flows Exp/Num − Sc t = 0.2-1.3 Absi [38] Sediment-laden open channel flows Exp/Num − Sc t = Sc t (z) Huang et al [49] Density stratified turbulence Exp/Num − Sc t = 1.3 Huq and Stewart [50] Density stratified turbulence Exp − Sc t = Sc t (Ri, T*) Walker et al [51] T-junction mixing experiments Exp/Num − Sc t = 0.1-0.2…”

Section: Referencementioning

confidence: 99%

“…A number of studies about the turbulent Schmidt number have dealt with the simulation of flow and tracer transport in open channels [22][23][24][25], while others have addressed those issues in contact or water tanks [26][27][28][29][30][31][32][33][34][35][36], inclined negatively-buoyant discharges [37], sediment-laden open channel flows [38][39][40][41][42][43][44][45][46][47][48], density stratified turbulence [49,50] and T-junction mixing experiments [51] ( Table 2). The terms "Exp" and "Num" mean the application of experimental and numerical methods, respectively, in each study.…”

Section: Water Systemsmentioning

confidence: 99%

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On the Values for the Turbulent Schmidt Number in Environmental Flows

Gualtieri

Angeloudis

Bombardelli

et al. 2017

Fluids

171

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Computational Fluid Dynamics (CFD) has consolidated as a tool to provide understanding and quantitative information regarding many complex environmental flows. The accuracy and reliability of CFD modelling results oftentimes come under scrutiny because of issues in the implementation of and input data for those simulations. Regarding the input data, if an approach based on the Reynolds-Averaged Navier-Stokes (RANS) equations is applied, the turbulent scalar fluxes are generally estimated by assuming the standard gradient diffusion hypothesis (SGDH), which requires the definition of the turbulent Schmidt number, Sc t (the ratio of momentum diffusivity to mass diffusivity in the turbulent flow). However, no universally-accepted values of this parameter have been established or, more importantly, methodologies for its computation have been provided. This paper firstly presents a review of previous studies about Sc t in environmental flows, involving both water and air systems. Secondly, three case studies are presented where the key role of a correct parameterization of the turbulent Schmidt number is pointed out. These include: (1) transverse mixing in a shallow water flow; (2) tracer transport in a contact tank; and (3) sediment transport in suspension. An overall picture on the use of the Schmidt number in CFD emerges from the paper.

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Section: Referencementioning

confidence: 99%

Section: Water Systemsmentioning

confidence: 99%

On the Values for the Turbulent Schmidt Number in Environmental Flows

Gualtieri

Angeloudis

Bombardelli

et al. 2017

Fluids

171

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“…The two-phase mixture models, when the equations are closed by proper theories, have the ability to account for the inter-phase interactions and can meet the requirements of studies on sediment-laden flows in open channels. This merit of two-phase mixture models for two-phase flows has been appreciated by many researchers in the field of fluvial hydraulics and applied to study a variety of problems related to sediment transport (Cao et al, 1995;Wu and Wang, 2000;Jha and Bombardelli, 2008;Jha and Bombardelli, 2010;Jha and Bombardelli, 2011;Zhong et al, 2011;Zhong et al, 2014). Compared with other similar models, such as the two-phase diffusion model proposed by Wu and Wang (2000) and the drift-flux model proposed by Ishii and Hibiki (2006), the present model can take account of the effect of the particle inertia, which is helpful for understanding the mechanism of sediment-laden flows.…”

mentioning

confidence: 98%

“…Theories developed for multiphase flows have been applied to study a variety of problems of interest in fluvial hydraulics (Drew, 1975;McTigue, 1981;Cao et al, 1995;Greimann et al, 1999;Wu and Wang, 2000;Greimann and Holly, 2001;Hsu et al, 2003;Hsu et al, 2004;Liu and Singh, 2004;Fu et al, 2005;Jha and Bombardelli, 2008;Toorman, 2008;Jha and Bombardelli, 2010;Chen et al, 2011;Jha and Bombardelli, 2011;Zhong et al, 2011) and these theories show exciting potential in considering the complicated interphase interactions and their impacts on erosion, transport, and sedimentation of sediment grains. Two-fluid models for two-phase flows have attracted considerable interest from researchers of fluvial hydraulics because of the models' rigorous theoretical formulation.…”

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confidence: 99%

Velocity profile of turbulent sediment-laden flows in open-channels

Zhong

Zhang

Wang

et al. 2015

International Journal of Sediment Research

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“…The concentration evolution is often analyzed using advectiondispersion equations (see [1,2,3,4]). The traditional continuum approach (see Fig.…”

Section: Introductionmentioning

confidence: 99%

Numerical sedimentation particle-size analysis using the Discrete Element Method

Bravo

Pérez-Aparicio

Gómez‐Hernández

2015

Advances in Water Resources

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Sedimentation processes are generally modelled using an equivalent continuum approach based on the coupling of the Navier-Stokes and the advection-dispersion equations; the sediment concentration within an elementary fluid volume is the variable of interest. Continuous advances in computational capabilities have brought up a new type of modelling that simulates the individual motion and contact interactions of grains: the Discrete Element Method (DEM). In this work, DEM interacts with the simulation of flow using the well known one-way-coupling method, a computationally affordable approach for the time-consuming numerical simulation of the ASTM-D422, buoyancy and pipette sedimentation tests. These tests are used in the laboratory to determine the particle-size distribution of fine-grained aggregates. Five samples with different particle-size distributions are modelled by about six million rigid spheres projected on two-dimensions, with diameters ranging from 2.5 × 10 −6 m to 70 × 10 −6 m, forming a water suspension in a sedimentation cylinder. DEM simulates the particle's movement considering laminar flow interactions of hydrostatic thrust, drag and lubrication forces. The simulation provides the temporal/spatial distributions of densities and concentrations of the suspension.The numerical simulation cannot replace the laboratory tests since it needs the final granulometry as initial data; but, as the results show, these simulations can identify the strong and weak points of each method and eventually recommend useful variations and draw conclusions on their validity, aspects very difficult to achieve in the laboratory.

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Theoretical/numerical model for the transport of non-uniform suspended sediment in open channels

Cited by 50 publications

References 54 publications

On the Values for the Turbulent Schmidt Number in Environmental Flows

On the Values for the Turbulent Schmidt Number in Environmental Flows

Velocity profile of turbulent sediment-laden flows in open-channels

Numerical sedimentation particle-size analysis using the Discrete Element Method

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