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dc.contributor.authorPandey, M.
dc.contributor.authorOlivetto, G.
dc.contributor.authorPu, Jaan H.
dc.contributor.authorSharma, P.K.
dc.contributor.authorOjha, C.S.P.
dc.date.accessioned2020-06-16T14:15:22Z
dc.date.accessioned2020-07-07T12:11:37Z
dc.date.available2020-06-16T14:15:22Z
dc.date.available2020-07-07T12:11:37Z
dc.date.issued2020-06-13
dc.identifier.citationPandey M, Olivetto G, Pu JH et al (2020) Pier Scour Prediction in Non-Uniform Gravel Beds. MDPI Water. 12(6): 1696.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17905
dc.descriptionYesen_US
dc.description.abstractPier scour has been extensively studied in laboratory experiments. However, scour depth relationships based on data at the laboratory scale often yield unacceptable results when extended to field conditions. In this study, non-uniform gravel bed laboratory and field datasets with gravel of median size ranging from 2.7 to 14.25 mm were considered to predict the maximum equilibrium scour depth at cylindrical piers. Specifically, a total of 217 datasets were collected: 132 from literature sources and 85 in this study using new experiments at the laboratory scale, which constitute a novel contribution provided by this paper. From the analysis of data, it was observed that Melville and Coleman’s equation performs well in the case of laboratory datasets, while it tends to overestimate field measurements. Guo’s and Kim et al.’s relationships showed good agreements only for laboratory datasets with finer non-uniform sediments: deviations in predicting the maximum scour depth with non-uniform gravel beds were found to be significantly greater than those for non-uniform sand and fine gravel beds. Consequently, new K-factors for the Melville and Coleman’s equation were proposed in this study for non-uniform gravel-bed streams using a curve-fitting method. The results revealed good agreements between observations and predictions, where this might be an attractive advancement in overcoming scale effects. Moreover, a sensitivity analysis was performed to identify the most sensitive K-factors.en_US
dc.language.isoenen_US
dc.publisherMDPI
dc.relation.isreferencedbyhttps://doi.org/10.3390/w12061696en_US
dc.rights(c) 2020 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/)en_US
dc.subjectPier scouren_US
dc.subjectNon-uniform bed gravelen_US
dc.subjectEquilibrium scour depthen_US
dc.subjectClear-water regimeen_US
dc.titlePier Scour Prediction in Non-Uniform Gravel Bedsen_US
dc.status.refereedYesen_US
dc.date.Accepted2020-06-10
dc.typeArticleen_US
dc.type.versionPublished versionen_US
dc.date.updated2020-06-16T13:15:30Z
refterms.dateFOA2020-07-07T12:12:11Z


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