2014 Backward-Facing Step Experiments
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2014 Backward-Facing Step Flume Experiments
This dataset includes data from flume experiments run in 2014 at Arizona State University investigating bedload transport and turbulent structures downstream of a 3.81 cm backward-facing step. Two high-speed cameras captured bedload motion and motion of neutrally buoyant particles in the flow at 9 different distance downstream of the backward-facing step. Bedload transport data were collected using manual particle tracking techniques on the bedload images. Neutrally buoyant particle images were run through Particle Image Velocimetry algorithms to generate a two-dimensional field of fluid velocity vectors. Acoustic Doppler Velocimetry data were also recorded to refine fluid velocity measurements.
Data included herein:
(1) Raw bedload images (Sed_raw.zip & sed130.zip)
(2) Raw PIV images (PIV_all.zip)
(3) Bedload transport .csv files (Bedload_Flux_AllRuns.xlsx)
(4) Bedload time series (both downstream [DS] and cross-stream [CS]) .csv files
(5) Bedload Tracking Videos
(6) ADV files (ADV.zip)
(7) Bedload Tracking .csv files (Sediment_Tracking.zip)
This research is in collaboration with Dr. Mark Schmeeckle and was supported by a National Science Foundation research grant (award number: 1226288; PI: Mark Schmeeckle).
Questions regarding this dataset should be directed to Kate Leary (learykcp@gmail.com).
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Title: 2014 Backward-Facing Step Flume Experiments
Persistent ID: http://doi.org/10.5967/M0TB150B
Creator(s) Kate Leary
Abstract: This dataset includes data from flume experiments run in 2014 at Arizona State University investigating bedload transport and turbulent structures downstream of a 3.81 cm backward-facing step. Two high-speed cameras captured bedload motion and motion of neutrally buoyant particles in the flow at 9 different distance downstream of the backward-facing step. Bedload transport data were collected using manual particle tracking techniques on the bedload images. Neutrally buoyant particle images were run through Particle Image Velocimetry algorithms to generate a two-dimensional field of fluid velocity vectors. Acoustic Doppler Velocimetry data were also recorded to refine fluid velocity measurements. Data included herein: (1) Raw bedload images (Sed_raw.zip & sed130.zip) (2) Raw PIV images (PIV_all.zip) (3) Bedload transport .csv files (Bedload_Flux_AllRuns.xlsx) (4) Bedload time series (both downstream [DS] and cross-stream [CS]) .csv files (5) Bedload Tracking Videos (6) ADV files (ADV.zip) (7) Bedload Tracking .csv files (Sediment_Tracking.zip) This research is in collaboration with Dr. Mark Schmeeckle and was supported by a National Science Foundation research grant (award number: 1226288; PI: Mark Schmeeckle). Questions regarding this dataset should be directed to Kate Leary (learykcp@gmail.com).
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