A simple formula for predicting settling velocity of sediment particles
Based on the general relationship described by Cheng between the drag coefficient and the Reynolds number of a particle, a new relationship between the Reynolds number and a dimensionless particle parameter is proposed. Using a trial-and-error procedure to minimize errors, the coefficients were dete...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2008-03-01
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| Series: | Water Science and Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S167423701530017X |
| _version_ | 1818846490325417984 |
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| author | Song Zhiyao Wu Tingting Xu Fumin Li Ruijie |
| author_facet | Song Zhiyao Wu Tingting Xu Fumin Li Ruijie |
| author_sort | Song Zhiyao |
| collection | DOAJ |
| description | Based on the general relationship described by Cheng between the drag coefficient and the Reynolds number of a particle, a new relationship between the Reynolds number and a dimensionless particle parameter is proposed. Using a trial-and-error procedure to minimize errors, the coefficients were determined and a formula was developed for predicting the settling velocity of natural sediment particles. This formula has higher prediction accuracy than other published formulas and it is applicable to all Reynolds numbers less than 2×105. |
| first_indexed | 2024-12-19T05:46:23Z |
| format | Article |
| id | doaj.art-fb75635fbc1a4f90b2a6804a6c9e81aa |
| institution | Directory Open Access Journal |
| issn | 1674-2370 |
| language | English |
| last_indexed | 2024-12-19T05:46:23Z |
| publishDate | 2008-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Science and Engineering |
| spelling | doaj.art-fb75635fbc1a4f90b2a6804a6c9e81aa2022-12-21T20:33:50ZengElsevierWater Science and Engineering1674-23702008-03-0111374310.1016/S1674-2370(15)30017-XA simple formula for predicting settling velocity of sediment particlesSong Zhiyao0Wu Tingting1Xu Fumin2Li Ruijie3State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, P. R. ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, P. R. ChinaCollege of Ocean, Hohai University, Nanjing 210098, P. R. ChinaCollege of Ocean, Hohai University, Nanjing 210098, P. R. ChinaBased on the general relationship described by Cheng between the drag coefficient and the Reynolds number of a particle, a new relationship between the Reynolds number and a dimensionless particle parameter is proposed. Using a trial-and-error procedure to minimize errors, the coefficients were determined and a formula was developed for predicting the settling velocity of natural sediment particles. This formula has higher prediction accuracy than other published formulas and it is applicable to all Reynolds numbers less than 2×105.http://www.sciencedirect.com/science/article/pii/S167423701530017Xsettling velocityspherical particlesediment particlesediment transporttrial-and-error method |
| spellingShingle | Song Zhiyao Wu Tingting Xu Fumin Li Ruijie A simple formula for predicting settling velocity of sediment particles Water Science and Engineering settling velocity spherical particle sediment particle sediment transport trial-and-error method |
| title | A simple formula for predicting settling velocity of sediment particles |
| title_full | A simple formula for predicting settling velocity of sediment particles |
| title_fullStr | A simple formula for predicting settling velocity of sediment particles |
| title_full_unstemmed | A simple formula for predicting settling velocity of sediment particles |
| title_short | A simple formula for predicting settling velocity of sediment particles |
| title_sort | simple formula for predicting settling velocity of sediment particles |
| topic | settling velocity spherical particle sediment particle sediment transport trial-and-error method |
| url | http://www.sciencedirect.com/science/article/pii/S167423701530017X |
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