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Threshold of Motion Conditions Under Stokes Flow Regime and Comparison With Turbulent Flow Data
Author(s) -
Shih WuRong,
Diplas Panayiotis
Publication year - 2019
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2019wr024836
Subject(s) - turbulence , stokes number , mechanics , flow (mathematics) , open channel flow , entrainment (biomusicology) , range (aeronautics) , mathematics , physics , geology , materials science , reynolds number , rhythm , acoustics , composite material
The present study numerically investigates the effects of bed geometrical properties on particle entrainment driven by Stokes flow. We use different substrate arrangements to alter two important factors: The angle of repose, φ , and degree of exposure, e , of the test particle. The effectiveness of shear flow in mobilizing surface particles will change with e and φ , or collectively, η = e /tan φ , yielding a wide range of critical Shields parameter, θ c , values. The use of η is better suited for describing local bed geometry as both e and φ values will change simultaneously during substrate rearranging processes. Furthermore, the range of θ c values obtained in this study stems from the limitation of this parameter to relate the applied force variation to local flow and bed conditions. We therefore propose an effective shear ratio, α , to establish such connections between the global and local flow shear intensities. These results provide a unique perspective to examine typical θ c data obtained from both Stokes and turbulence regimes. For the case of a single‐particle entrainment under given grain protrusion, Stokes flow‐based θ c values are found to be 2 to 3 times larger than the counterpart turbulence data. For the case of channel bed mobility, however, the Shields curve suggests an order of magnitude difference in θ c between the two regimes. In part, we attribute this significant θ c variation to turbulent flow fluctuations in the first case and varied bed mobility levels in the second, given their distinct theoretical and empirical nature, respectively.