Options
Stage–discharge prediction in straight compound channels using 3D numerical models
File(s)
File | Description | Size | Format | |
---|---|---|---|---|
wama1100015h.pdf | 794.37 KB |
Date Issued
June 2012
Date Available
20T11:31:52Z February 2013
Abstract
An improved approach for applying three-dimensional (3D) computational fluid dynamics (CFD) models to estimate
uniform flow stage–discharge relationships and velocity distributions in straight compound channels is presented.
Commonly used modelling approaches tend to be over-specified. For a given flow and water level, desired results are
obtained through calibration of resistance coefficients that can be artificially high and vary with changing flow
conditions. Furthermore, the momentum interaction at the main channel–floodplain interface is sometimes ignored
or is accounted for using a constant eddy viscosity. This potentially results in an overestimation of conveyance
capacity in compound channels. The proposed approach represents an advance on these methods and uses a 3D CFD
model with k– turbulence closure in a predictive capacity where a flow together with physically realistic resistance
coefficients are specified. Downstream water levels are then iteratively adjusted until uniform flow conditions are
established in the channel. The approach is validated against benchmark experimental data obtained from the largescale
UK Flood Channel Facility and is compared with predictions from divided channel methods.
Type of Material
Journal Article
Publisher
Institution of Civil Engineers
Journal
Proceedings of the Institution of Civil Engineers, Water Management
Volume
166
Issue
1
Start Page
3
End Page
15
Copyright (Published Version)
2012, ICE Publishing Ltd
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
Owning collection
Scopus© citations
8
Acquisition Date
Feb 3, 2023
Feb 3, 2023
Views
1735
Last Week
1
1
Last Month
3
3
Acquisition Date
Feb 4, 2023
Feb 4, 2023
Downloads
1150
Last Month
880
880
Acquisition Date
Feb 4, 2023
Feb 4, 2023