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Computational Fluid Dynamics (CFD) modelling to estimate fluvial bank erosion—a case study

Computational Fluid Dynamics (CFD) modelling to estimate fluvial bank erosion—a case study
Computational Fluid Dynamics (CFD) modelling to estimate fluvial bank erosion—a case study
River bank erosion models are an important prerequisite for understanding the development of river meanders and for estimating likely land-loss and potential danger to floodplain infrastructure. Although bank erosion models have been developed that consider large-scale mass failure, the contribution of fluvial erosion (the process of particle-by-particle erosion due to the shearing action of the river flow) to bank retreat has not received as much consideration. In principle, such fluvial bank erosion rates can be quantified using excess shear stress formulations, but in practice, it has proven difficult to estimate the parameters involved. In this study, a series of three-dimensional Computational Fluid Dynamics (CFD) simulations for a meander loop on the River Asker (200 m long) at Bridport in southern England were undertaken to elucidate the overall flow structures and in particular to provide estimates of the applied fluid shear stress exerted on the riverbanks. The CFD models, which simulated relatively low and relatively high flow conditions, were established using Fluent 6.2 software. The modelling outcomes show that the key qualitative features of the flow endure even as flow discharge varies. At bank full, the degrees of velocity and simulated shear stresses within the inner bank separation zones are shown to be higher than those observed under low flow conditions, and that these elevated shear stresses may be sufficient to result in the removal of accumulated sediments into the main downstream flow.
2327-4344
17-43
Spyropoulos, Emmanuel
5f8e5c4c-92d3-44f2-9e4c-7b6ac1eabc0c
Darby, Stephen
4c3e1c76-d404-4ff3-86f8-84e42fbb7970
Spyropoulos, Emmanuel
5f8e5c4c-92d3-44f2-9e4c-7b6ac1eabc0c
Darby, Stephen
4c3e1c76-d404-4ff3-86f8-84e42fbb7970

Spyropoulos, Emmanuel and Darby, Stephen (2020) Computational Fluid Dynamics (CFD) modelling to estimate fluvial bank erosion—a case study. Journal of Geoscience and Environmental Protection, 8, 17-43. (doi:10.4236/gep.2020.87002).

Record type: Article

Abstract

River bank erosion models are an important prerequisite for understanding the development of river meanders and for estimating likely land-loss and potential danger to floodplain infrastructure. Although bank erosion models have been developed that consider large-scale mass failure, the contribution of fluvial erosion (the process of particle-by-particle erosion due to the shearing action of the river flow) to bank retreat has not received as much consideration. In principle, such fluvial bank erosion rates can be quantified using excess shear stress formulations, but in practice, it has proven difficult to estimate the parameters involved. In this study, a series of three-dimensional Computational Fluid Dynamics (CFD) simulations for a meander loop on the River Asker (200 m long) at Bridport in southern England were undertaken to elucidate the overall flow structures and in particular to provide estimates of the applied fluid shear stress exerted on the riverbanks. The CFD models, which simulated relatively low and relatively high flow conditions, were established using Fluent 6.2 software. The modelling outcomes show that the key qualitative features of the flow endure even as flow discharge varies. At bank full, the degrees of velocity and simulated shear stresses within the inner bank separation zones are shown to be higher than those observed under low flow conditions, and that these elevated shear stresses may be sufficient to result in the removal of accumulated sediments into the main downstream flow.

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Accepted/In Press date: 12 July 2020
Published date: 15 July 2020

Identifiers

Local EPrints ID: 442430
URI: http://eprints.soton.ac.uk/id/eprint/442430
ISSN: 2327-4344
PURE UUID: d47d297b-2699-4090-b6b8-b880dae56845
ORCID for Stephen Darby: ORCID iD orcid.org/0000-0001-8778-4394

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Date deposited: 15 Jul 2020 16:31
Last modified: 17 Mar 2024 02:46

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Author: Emmanuel Spyropoulos
Author: Stephen Darby ORCID iD

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