Characterization of the Spatiotemporal Distribution of Shear Stress and Bedload Flux Within a Mobile, Rippled Bed

Abstract Mobile sediment layer dynamics and the distribution of shear stress within mobile fluid‐sediment mixtures are not well understood, particularly for oscillatory flows over rippled boundaries. This article provides insight into bed shear stress at and within a mobile, rippled bedform at high spatiotemporal resolution for the purpose of improving estimates of bedload transport. Data from a coupled Large Eddy Simulation (LES) and Discrete Particle Model (DPM) is used to characterize the spatiotemporal distribution of shear stress within the bed. Estimates of stress within the mobile layer are obtained using a new momentum integral method expression for oscillatory flow over mobile, porous, non‐planar boundaries that makes no a priori assumptions about the boundary layer shape. Shear stress within the mobile layer and the resulting bedload flux show a strong response to the near‐bed flow. Two local maxima occur within the mobile layer shear stress distribution during each half‐oscillation period that coincide with near‐bed fluid acceleration and the formation of a lee‐side ripple vortex. The depth‐averaged mobile layer Shields parameter, , obtained by depth‐averaging across the mobile layer of grains, is approximately one‐half the magnitude of the Shields parameter at the top of the mobile layer, and may serve as a better indicator of bedform motion for rippled beds subjected to oscillatory flow. Findings highlight the implications of the assumed bed elevation on the resulting magnitude and direction of estimated shear stress, as well as discrepancies in the magnitude and phase of bedload flux estimated with existing semi‐empirical formulae.

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Publication Details

Journal
Journal of Geophysical Research Oceans
Published
2025-09-01
DOI
https://doi.org/10.1029/2025jc022369
Citations
1
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
1.33

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article

Characterization of the Spatiotemporal Distribution of Shear Stress and Bedload Flux Within a Mobile, Rippled Bed

Daniel S. Hagan, D. L. Foster, Savannah R DeVoe, Meagan Wengrove
1 citations
Journal of Geophysical Research Oceans
Granular flow and fluidized beds
1.33
article

Characterization of the Spatiotemporal Distribution of Shear Stress and Bedload Flux Within a Mobile, Rippled Bed

Daniel S. Hagan, D. L. Foster, Savannah R DeVoe, Meagan Wengrove
article en
1 citations

Abstract

Abstract Mobile sediment layer dynamics and the distribution of shear stress within mobile fluid‐sediment mixtures are not well understood, particularly for oscillatory flows over rippled boundaries. This article provides insight into bed shear stress at and within a mobile, rippled bedform at high spatiotemporal resolution for the purpose of improving estimates of bedload transport. Data from a coupled Large Eddy Simulation (LES) and Discrete Particle Model (DPM) is used to characterize the spatiotemporal distribution of shear stress within the bed. Estimates of stress within the mobile layer are obtained using a new momentum integral method expression for oscillatory flow over mobile, porous, non‐planar boundaries that makes no a priori assumptions about the boundary layer shape. Shear stress within the mobile layer and the resulting bedload flux show a strong response to the near‐bed flow. Two local maxima occur within the mobile layer shear stress distribution during each half‐oscillation period that coincide with near‐bed fluid acceleration and the formation of a lee‐side ripple vortex. The depth‐averaged mobile layer Shields parameter, , obtained by depth‐averaging across the mobile layer of grains, is approximately one‐half the magnitude of the Shields parameter at the top of the mobile layer, and may serve as a better indicator of bedform motion for rippled beds subjected to oscillatory flow. Findings highlight the implications of the assumed bed elevation on the resulting magnitude and direction of estimated shear stress, as well as discrepancies in the magnitude and phase of bedload flux estimated with existing semi‐empirical formulae.

Journal of Geophysical Research OceansVol. 130(9)
University of Vermont (US), Oregon State University (US), University of New Hampshire (US), Woods Hole Oceanographic Institution (US), U.S. Army Engineer Research and Development Center (US)
University of New Hampshire, Oregon State University, Oak Ridge Institute for Science and Education
Openalex Percentile: Top 19%
Granular flow and fluidized beds
1.33
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