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9 results for “bed roughness”
Waves plus currents INteracting at a right anGle over rough bedS (WINGS)
<p> </p> <p>The project aims at investigating the overall effects induced by combined wave plus current flow on the near bed flow in the presence of different roughness conditions (loose sand, gravel, fixed ripples) with waves and currents crossing at a right angle. This condition is indeed typical of coastal regions, where waves and longshore currents coexist. In this framework, the goal of the experiments is to understand how the combined flow affects the velocity distribution through the water column and the apparent bed roughness.</p>
Dataset for "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange"
<p>This dataset contains the sediment models, DNS flow field data, subsurface path data, and calculated transit time distributions for both the regular- and random-interface cases used in the paper: "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange" by Guangchen Shen, Junlin Yuan, and Mantha S. Phanikumar (Submitted to Water Resources Research). <br> Detailed introduction of each data file is as follows.</p> <p>1. DNS flow field data</p> <p>Flowfield_Reg.h5 and Flowfield_Ran.h5 contains the following fields for the regular and random cases, respectively. 'ni', 'nj', 'nk' are the numbers of grid points along x, y, and z directions. 'xc', 'yc', 'zc' are the cell center locations. 'u3d','v3d','w3d' are the three-dimensional time-averaged velocities at each grid point. 'vof' is the volume-of-fluid field used by the immersed-boundary method to prescribe the fluid-solid interface (vof=1 in fluid and 0 in solid), at each grid point. 'vof' contains the information of sediment grain distribution and bed roughness geometry. Only the subsurface data (those below the sediment crest) are shared due to dataset size limit.</p> <p>2. Particle-tracked subsurface flow paths and corresponding transit time distributions</p> <p>The mat files “xxx_pathline” store the (x,y,z) location of each point (saved as 'StrX', 'StrY, 'StrZ') along the subsurface paths, discretized by uniform steps of travel time (with time intervals of 0.1 for 'A' and 0.01 for 'MD' cases, normalized by channel height and friction velocity). The files “xxx_TT” store the array of transit times corresponding to the tracked paths, where the 1d array T is the transit time. 'A' denotes calculations based on time-mean advection only, while 'MD' denotes calculations accounting for additional molecular diffusion. 'Interface' and '3DiameterBelow' indicate that the particles were released at the interface and -3 D below the interface, respectively.</p>
Response of flow and saltating particle characteristics to bed roughness and particle spatial density
<p>The data were used in the paper "Response of flow and saltating particle characteristics to bed roughness and particle spatial density" which was submitted to "<em>Water Resources Research</em>". In this paper, The numerical model combining LES method and point-particle method is applied for tracking particle trajectories. The effects of bed roughness and particle spatial density on the bedload transport are investigated by numerical simulations. The distributions of key parameters for saltation, including their changes, are assessed using the PDF curves. </p>
On the influence of bed roughness on saltation in inertial regime
<p>Matlab files containing jumps (hops) features (measurement done via Tracker software, image analysis) by columns: 1/ hop length, 2/ hop height, 3/ horizontal rebund velocity, 4/ vertical rebund velocity, 5/ horizontal impact velocity, 6/ vertical impact velocity, 7/ horizontal impact velocity at the end of the jump, 8/ vertical impact velocity at the end of the jump, 9/ rebund angle, 10/ impact angle, 11/ impact angle at the end of the jump. Original videos available on request (very large files).</p>
Dataset for paper "Flow Resistance for a Varying Density of Obstacles on Smooth and Rough Beds"
<p>This dataset contains the experimental data that supports the paper:</p> <p>Guillén-Ludeña, S., Lopez, D., Mignot, E., & Riviere, N. (2019). Flow Resistance for a Varying Density of Obstacles on Smooth and Rough Beds. <em>Journal of Hydraulic Engineering</em>, <em>146</em>(2), 04019059.</p> <p>The file Readme.txt contains al explanations regarding the data organization.</p>
Attachment force (mN) of bed bugs Cimex lectularius males on Perspex (PMMA) in relation to surface roughness and wettability
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Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed
<p>The experimental dataset was collected in an 18 m long and1 m wide laboratory flume.<br> An urbanised floodplain is modelled. The bed is rough, modelled with dense artificial grass. An array of square cylinders, representing housemodels, was set on the rough bed. The cylinder immersion rate was varied: cylinders are emerged for three flow cases<br> H/k = 42%, 93% and 98% (H water depth and k obstacle height) and slightly submerged for H/k = 148%.<br> This dataset comprises water, velocities across the channel and between y/(L/2) = 5 to 7 (L = 14.3 cm) measured using an Acoustic Doppler Velocimetry with a side looking probe, and velocities in longitudinal-vertical planes measured using Particle Image Velocimetry.</p> <p>This data set is explained in detail the following article :<br> Oukacine, M., Proust, S., Larrarte, F. <em>et al.</em> Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed. <em>Sci Data</em> <strong>8, </strong>6 (2021). <a href="https://doi.org/10.1038/s41597-020-00791-w">https://doi.org/10.1038/s41597-020-00791-w</a></p>
Response of flow and saltating particle characteristics to bed roughness and particle spatial density
<p>The data were used in the paper "Response of flow and saltating particle characteristics to bed roughness and particle spatial density" which was submitted to "Journal of Geophysical Research-Earth Surface". In this paper, the effects of bed roughness and particle spatial density on the bedload transport are investigated by numerical simulations. The distributions of key parameters for saltation, including their changes, are assessed using the PDF curves. It is found that bed roughness is likely composed of particles of equivalent size for fine particles.</p>
Data from: The effect of bed roughness uncertainty on tidal stream power estimates for the Pentland Firth
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