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The Role of Large-Scale Bedforms in Driftwood Storage Mechanism in Rivers
Article

3D–3D Computations on Submerged-Driftwood Motions in Water Flows with Large Wood Density around Driftwood Capture Facility

1
Faculty of Sustainable Design, University of Toyama, 3190, Gofuku, Toyama 930-8555, Japan
2
Department of Civil Engineering, Korea National University of Transportation, 50 Daehak-ro, Chungju-si, Chungbuk 27469, Korea
3
Suiko Research Co., Ltd. 3-7-1-27, Hiragishi, Toyohira-ku, Sapporo 062-0933, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Jose G. Vasconcelos
Water 2021, 13(10), 1406; https://doi.org/10.3390/w13101406
Received: 14 April 2021 / Revised: 9 May 2021 / Accepted: 13 May 2021 / Published: 18 May 2021
(This article belongs to the Special Issue Modeling and Measurement of Driftwood Movement in Rivers)
The accumulation of driftwood during heavy rainfall may block river channels and damage structures. It is necessary to mitigate such effects by periodically capturing and removing driftwood from rivers. In this study, the behavior of driftwood in open-channel flows with a relatively large wood density was modeled numerically. The water flow and driftwood motion were solved three-dimensionally, with an Euler-type flow model coupled with a Lagrange-type driftwood motion model. A piece of driftwood was modeled as a set of connected spherical elements in a straight line for easy analysis using a discrete element method. Wood with specific gravity exceeding 1 will travel along a position near the riverbed and will be affected by bed friction. In addition, friction forces for sliding and rolling motions are considerably different. Therefore, in the numerical model, a bed friction term was introduced between the bed and driftwood considering the anisotropy of the friction force. The variation in the drag force of water flow on driftwood was also considered depending on the angle between the driftwood trunkwise direction and flow direction. The model was applied under the same conditions as those used in a laboratory experiment on driftwood behavior around an inlet-type driftwood capture facility. The computational results showed that the proposed model could qualitatively reproduce the driftwood behavior around the capture facility. The secondary flow patterns at the approaching reach and the capture ratio were found to be strongly affected by the turbulence model and the Manning roughness coefficient. View Full-Text
Keywords: driftwood dynamics; driftwood capture facility; 3D computational fluid dynamics model driftwood dynamics; driftwood capture facility; 3D computational fluid dynamics model
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MDPI and ACS Style

Kimura, I.; Kang, T.; Kato, K. 3D–3D Computations on Submerged-Driftwood Motions in Water Flows with Large Wood Density around Driftwood Capture Facility. Water 2021, 13, 1406. https://doi.org/10.3390/w13101406

AMA Style

Kimura I, Kang T, Kato K. 3D–3D Computations on Submerged-Driftwood Motions in Water Flows with Large Wood Density around Driftwood Capture Facility. Water. 2021; 13(10):1406. https://doi.org/10.3390/w13101406

Chicago/Turabian Style

Kimura, Ichiro, Taeun Kang, and Kazuo Kato. 2021. "3D–3D Computations on Submerged-Driftwood Motions in Water Flows with Large Wood Density around Driftwood Capture Facility" Water 13, no. 10: 1406. https://doi.org/10.3390/w13101406

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