2012
DOI: 10.1002/esp.3304
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Transport and deposition of fine sediment in open channels with different aspect ratios

Abstract: This paper investigates by means of several large eddy simulations how the channel aspect ratio affects the transport and settling of suspended sediments. The numerical method is successfully validated using data of a physical experiment of fine sediment net deposition in an open channel flow. The channel aspect ratio, A, is known to be the determining factor for the development, strength and distribution of the turbulence‐driven secondary flow, and it is demonstrated that A influences the primary flow, turbul… Show more

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Cited by 24 publications
(13 citation statements)
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“…In this study, the in‐house code Hydro3D is employed for the large‐eddy simulation (LES). Hydro3D has been validated for and applied to several flows of similar complexity to those reported here (Bomminayuni & Stoesser, ; Bai et al, ; Fraga Bugallo & Stoesser, ; Fraga Bugallo et al, ; Kara et al, ; Kim et al, ; Kara, Stoesser, & McSherry, ; Kara, Stoesser, & Sturm, ; Kim & Stoesser, ). The code is based on a finite difference method on a staggered Cartesian grid.…”
Section: Methodsmentioning
confidence: 86%
See 1 more Smart Citation
“…In this study, the in‐house code Hydro3D is employed for the large‐eddy simulation (LES). Hydro3D has been validated for and applied to several flows of similar complexity to those reported here (Bomminayuni & Stoesser, ; Bai et al, ; Fraga Bugallo & Stoesser, ; Fraga Bugallo et al, ; Kara et al, ; Kim et al, ; Kara, Stoesser, & McSherry, ; Kara, Stoesser, & Sturm, ; Kim & Stoesser, ). The code is based on a finite difference method on a staggered Cartesian grid.…”
Section: Methodsmentioning
confidence: 86%
“…The streamwise turbulence intensities of profiles 0 D x to 4 D x attain their local maximum around the elevation of the boulder crest due to the shear‐layer and flow separation from the boulder and the turbulence structures evolving as a result of these. From 5 D x to 9 D x , the maximum streamwise turbulence intensity is found near the rough bed, a result of boundary layer recovery, and hence, the flow behaves more like the flow over a rough bed (Bai et al, ; Stoesser, ). The predicted profiles are generally in reasonably good agreement with the measured data.…”
Section: Resultsmentioning
confidence: 99%
“…The large-eddy simulation code (Hydro3D) used in this study is based on a finite volume discretization on a Cartesian grid with collocated variable arrangement [33] and has been validated thoroughly for many different flows [34][35][36][37][38][39][40][41]. The Hydro3D code solves the filtered Navier-Stokes equations for incompressible fluid flow (e.g., [42]): of the flow information available from the smallest resolved scales.…”
Section: Numerical Frameworkmentioning
confidence: 99%
“…Although CFS have frequently been observed, a complete understanding of both their generation and evolution is limited, even though they ultimately form the nature of turbulent river flows. Furthermore, these structures contribute to both the Reynolds stresses and turbulence intensity [ Venditti et al ., ], which implies that the initiation of movement and transport of sediment will be linked to such structures [ Drake et al ., ; Hardy , ; Garcia et al ., ; Diplas and Dancy , ; Singh and Foufoula‐Georgiou , ] and they will also influence both suspended sediment [ Heathershaw , ; Bai et al ., ] and bed load [ Jackson , ; Schmeeckle et al ., ] transport. This incomplete understanding thus impedes our ability to predict the boundary layer dynamics at the microscale.…”
Section: Introductionmentioning
confidence: 99%