Two-Phase Flow Model on Oscillatory Sheet-Flow

Asano, Toshiyuki

doi:10.1061/9780872627765.181

Cited by 26 publications

(27 citation statements)

References 2 publications

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“…Turbulence model Particle stress Asano (1990), Li and Sawamoto (1995), and Dong and Zhang (2002) mixing length Bagnold Jenkins and Hanes (1998) mixing length kinetic theory Revil-Baudard and Chauchat (2013) mixing length granular rheology Li et al (2008) k − L Bagnold Bakhtyar et al (2009) k − ε Bagnold , Chauchat and Guillou (2008), and Amoudry et al (2008) k − ε kinetic theory Yu et al (2010) and Cheng et al (2017a) Amoudry (2014 and Bombardelli (2009, 2010) k − ω kinetic theory Lee et al (2016) k − ε granular rheology is modeled by the fluctuation energy of the particle phase (or granular temperature). Various models were developed to model the granular temperature.…”

Section: Authorsmentioning

confidence: 99%

SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport

et al. 2017

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Abstract. In this paper, a three-dimensional two-phase flow solver, SedFoam-2.0, is presented for sediment transport applications. The solver is extended from twoPhaseEulerFoam available in the 2.1.0 release of the open-source CFD (computational fluid dynamics) toolbox OpenFOAM. In this approach the sediment phase is modeled as a continuum, and constitutive laws have to be prescribed for the sediment stresses. In the proposed solver, two different intergranular stress models are implemented: the kinetic theory of granular flows and the dense granular flow rheology µ(I ). For the fluid stress, laminar or turbulent flow regimes can be simulated and three different turbulence models are available for sediment transport: a simple mixing length model (one-dimensional configuration only), a k − ε, and a k − ω model. The numerical implementation is demonstrated on four test cases: sedimentation of suspended particles, laminar bed load, sheet flow, and scour at an apron. These test cases illustrate the capabilities of SedFoam-2.0 to deal with complex turbulent sediment transport problems with different combinations of intergranular stress and turbulence models.

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Section: Authorsmentioning

confidence: 99%

SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport

et al. 2017

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“…Examples are the steady flow model of Wilson [1987], the two-layer model of Kaczmarek [1990] [1998], and the two-phase flow models of Asano [1990] and Dong and Zhang [1999].…”

Section: Introductionmentioning

confidence: 99%

Mobile‐bed effects in oscillatory sheet flow

Dohmen-Janssen¹,

Hassan²,

Ribberink³

2001

J. Geophys. Res.

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Abstract. Field observations often show a considerable variation in mean grain size along the coastal profile. Under high waves in shallow water, bed ripples are washed out, and sheet flow becomes the dominant transport mode: large amounts of sand are transported in a thin layer close to the bed, i.e., the sheet flow layer. This paper focuses on grain size influences on transport processes in oscillatory sheet flow. Experiments were carried out in the Large Oscillating Water Tunnel (LOWT) of Delft Hydraulics, in which near-bed orbital velocities in combination with a net current can be simulated at full scale. Three uniform sands with different mean grain size were used. It was found that in contradiction to expressions found in literature, both the erosion depth and the sheet flow layer thickness are larger for fine sand (Ds0 = 0.13 mm) than for coarser sand (Ds0 -> 0.21 mm). Measured time-averaged velocity and concentration profiles indicate that the presence of a sheet flow layer leads to an increased flow resistance and to damping of turbulence and that these effects are stronger for a thicker sheet flow layer (i.e., for fine sand). These mobile-bed effects are analyzed further by comparing the measurements with the results of a one-dimensional vertical advection-diffusion boundary layer model. Simulating the mobile-bed effects in the model by introducing an increased roughness height and a reduced turbulent eddy viscosity showed that the roughness height is of the order of the sheet flow layer thickness and that turbulence damping increases for a decreasing grain size. 27,103

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“…Most methods are based on laboratory studies and linear wave theory (e.g. Bagnold, 1946;Manohar, 1955;Rance and Warren, 1969;Komar and Miller, 1973;Madsen and Grant, 1976;Migniot, 1977;Hammond and Collins, 1979;Rigler and Collins, 1983;White, 1989;Asano, 1990;Soulsby and Whitehouse, 1997;Dong and Zhang, 1999;Le Roux, 2001;Nielsen and Callaghan, 2003;Hassan and Ribberink, 2005;Wang, 2007) and are therefore not directly applicable to non-linear wave conditions in the field. The required horizontal semi-excursion (A δ ) or the orbital velocity at the top of the boundary layer (U δ ) can be measured in the laboratory, but has been impractical under field conditions because the thickness of the boundary layer was uncertain.…”

Section: Equations For Sediment Entrainmentmentioning

confidence: 99%

WAVECALC: an Excel-VBA spreadsheet to model the characteristics of fully developed waves and their influence on bottom sediments in different water depths

et al. 2010

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The generation and growth of waves in deep water is controlled by winds blowing over the sea surface. In fully developed sea states, where winds and waves are in equilibrium, wave parameters may be calculated directly from the wind velocity. We provide an Excel spreadsheet to compute the wave period, length, height and celerity, as well as horizontal and vertical particle velocities for any water depth, bottom slope and distance below the reference water level. The wave profile and propagation can also be visualized for any water depth, modeling the sea surface change from sinusoidal to trochoidal and finally cnoidal profiles into shallow water. Bedload entrainment is estimated under the wave crest and trough, respectively, using the horizontal water particle velocity at the top of the boundary layer.The calculations are programmed in an Excel file called WAVECALC, which is available online to authorized users. Although many of the recently published formulas are based on theoretical arguments, the values agree well with several existing theories and limited field and laboratory observations. WAVECALC is a user-friendly program intended for sedimentologists, coastal 2 engineers and oceanographers, as well as marine ecologists and biologists. It provides a rapid means to calculate many wave characteristics required in coastal and shallow marine studies and can also serve as an educational tool.

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Two-Phase Flow Model on Oscillatory Sheet-Flow

Cited by 26 publications

References 2 publications

SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport

SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport

Mobile‐bed effects in oscillatory sheet flow

WAVECALC: an Excel-VBA spreadsheet to model the characteristics of fully developed waves and their influence on bottom sediments in different water depths

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