Pier Scour Prediction in Non-Uniform Gravel Beds

Pier 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 si...

Full description

Bibliographic Details
Main Authors: Manish Pandey, Giuseppe Oliveto, Jaan H. Pu, Pramad K. Sharma, Chandra S. P. Ojha
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/6/1696
id doaj-6ad07d073ea9409080e6c4c14028f0ff
record_format Article
spelling doaj-6ad07d073ea9409080e6c4c14028f0ff2020-11-25T03:54:06ZengMDPI AGWater2073-44412020-06-01121696169610.3390/w12061696Pier Scour Prediction in Non-Uniform Gravel BedsManish Pandey0Giuseppe Oliveto1Jaan H. Pu2Pramad K. Sharma3Chandra S. P. Ojha4Department of Civil Engineering, National Institute of Technology Warangal, Warangal 506004, IndiaSchool of Engineering, University of Basilicata, 85100 Potenza, ItalySchool of Civil Engineering, University of Bradford, Bradford BD7, UKDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, IndiaDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, IndiaPier 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 <i>K</i>-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 <i>K</i>-factors.https://www.mdpi.com/2073-4441/12/6/1696pier scournon-uniform bed gravelequilibrium scour depthclear-water regime
collection DOAJ
language English
format Article
sources DOAJ
author Manish Pandey
Giuseppe Oliveto
Jaan H. Pu
Pramad K. Sharma
Chandra S. P. Ojha
spellingShingle Manish Pandey
Giuseppe Oliveto
Jaan H. Pu
Pramad K. Sharma
Chandra S. P. Ojha
Pier Scour Prediction in Non-Uniform Gravel Beds
Water
pier scour
non-uniform bed gravel
equilibrium scour depth
clear-water regime
author_facet Manish Pandey
Giuseppe Oliveto
Jaan H. Pu
Pramad K. Sharma
Chandra S. P. Ojha
author_sort Manish Pandey
title Pier Scour Prediction in Non-Uniform Gravel Beds
title_short Pier Scour Prediction in Non-Uniform Gravel Beds
title_full Pier Scour Prediction in Non-Uniform Gravel Beds
title_fullStr Pier Scour Prediction in Non-Uniform Gravel Beds
title_full_unstemmed Pier Scour Prediction in Non-Uniform Gravel Beds
title_sort pier scour prediction in non-uniform gravel beds
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-06-01
description Pier 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 <i>K</i>-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 <i>K</i>-factors.
topic pier scour
non-uniform bed gravel
equilibrium scour depth
clear-water regime
url https://www.mdpi.com/2073-4441/12/6/1696
work_keys_str_mv AT manishpandey pierscourpredictioninnonuniformgravelbeds
AT giuseppeoliveto pierscourpredictioninnonuniformgravelbeds
AT jaanhpu pierscourpredictioninnonuniformgravelbeds
AT pramadksharma pierscourpredictioninnonuniformgravelbeds
AT chandraspojha pierscourpredictioninnonuniformgravelbeds
_version_ 1724474757356716032