2022
DOI: 10.1016/j.euromechflu.2022.07.002
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Numerical investigation of sheet flow driven by a near-breaking transient wave using SedFoam

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Cited by 4 publications
(4 citation statements)
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“…For both the gravel and sand cases, 𝐴𝐴 𝐴𝐴 𝑠𝑠 0 = 0.7 best matched the experimental data (see calibration below) which follows the relationship between packing density and porosity (D = 1 − η), and is chosen for further analysis. Notably, 𝐴𝐴 𝐴𝐴 𝑠𝑠 0 = 0.7 is slightly larger than the 0.6-0.64 values typically used in SedFoam and SedWaveFoam numerical modeling (e.g., Chauchat et al, 2017;Delisle et al, 2022;Kim et al, 2018Kim et al, , 2019Kim et al, , 2021. These previous studies assumed uniform packing of perfectly spherical particles; heterogeneity (e.g., in shape or size) reduces pore space, reflecting as in increase in ϕ s .…”
Section: 1029/2022jc019615mentioning
confidence: 84%
“…For both the gravel and sand cases, 𝐴𝐴 𝐴𝐴 𝑠𝑠 0 = 0.7 best matched the experimental data (see calibration below) which follows the relationship between packing density and porosity (D = 1 − η), and is chosen for further analysis. Notably, 𝐴𝐴 𝐴𝐴 𝑠𝑠 0 = 0.7 is slightly larger than the 0.6-0.64 values typically used in SedFoam and SedWaveFoam numerical modeling (e.g., Chauchat et al, 2017;Delisle et al, 2022;Kim et al, 2018Kim et al, , 2019Kim et al, , 2021. These previous studies assumed uniform packing of perfectly spherical particles; heterogeneity (e.g., in shape or size) reduces pore space, reflecting as in increase in ϕ s .…”
Section: 1029/2022jc019615mentioning
confidence: 84%
“…The solver includes the most recent developments for intergranular stress modeling such as the kinetic theory for granular flows (Chassagne et al, 2023) and the µ(I) rheology (Boyer et al, 2011), turbulence closure models such as mixing length (Revil-Baudard and Chauchat, 2013), k − ε (Hsu et al, 2004), k − ω (Amoudry, 2014;Nagel et al, 2020), and large-eddy simulation (Mathieu et al, 2021) models. SedFoam has been validated using many benchmarks (Chauchat et al, 2017) and successfully applied to various practical configurations such as scour applications (Mathieu et al, 2019;Nagel et al, 2020;Tsai et al, 2022), ripple migration and geometry evolution (Salimi-Tarazouj et al, 2021a, b), sheet flow in an oscillatory boundary layer (Delisle et al, 2022;Mathieu et al, 2022) or immersed granular avalanches (Montellà et al, 2021(Montellà et al, , 2023.…”
Section: Introductionmentioning
confidence: 99%
“…It has been shown that within the bottom boundary layer, the viscoplastic rheological properties of the dense muddy mixture reduce the turbulent kinetic energy by increasing dissipation [12]. Likewise, the stable stratification resulting from wave-induced resuspension of bottom sediments has been seen to both damp turbulent kinetic energy and reduce the bed shear stress [13]. The interaction between this damping and the turbulent resuspension and transport of muddy sediment is not yet fully understood, but recent research has indicated a strong relationship between small scale turbulence in the bottom boundary layer and the movement of fine muddy sediment [14,15].…”
Section: Introductionmentioning
confidence: 99%