Three-Dimensional CFD Modeling of Self-Forming Meandering Channel

Olsen, Nils Reidar Bøe

doi:10.1061/(asce)0733-9429(2003)129:5(366)

Cited by 140 publications

(90 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently developed hydrodynamic and sediment transport models ͑Nagata et al Duan 1998;Duan et al 2001;Darby et al 2002;Olsen 2003͒ have the capability of predicting not only bed degradation or aggradation but also channel width adjustments. An empirical approach ͑Hasegawa 1981͒ was applied to a computational model by Nagata et al ͑2000͒ to predict bank erosion processes in meandering channels.…”

Section: Introductionmentioning

confidence: 99%

Analytical Approach to Calculate Rate of Bank Erosion

Duan

2005

J. Hydraul. Eng.

View full text Add to dashboard Cite

Bank erosion consists of two processes: basal erosion due to fluvial hydraulic force and bank failure under the influence of gravity. Because bank resistance force varies with the degree of saturation of bank material, the probability of bank failure is the probability of the driving force of bank failure being greater than the bank resistance force. The degree of saturation of bank material increases with river stage; therefore, the frequency of bank failure is correlated to the frequency of flooding. Consequently, the rate of bank erosion is due to both basal erosion and bank failure, and bank failure is a probabilistic phenomenon. In this paper, for cohesive bank material experiencing planar bank failure, a deterministic approach was adopted for basal erosion analysis, whereas the probability of bank failure was included in the analysis of bank failure. A method for calculating the rate of bank erosion was derived that integrates both basal erosion and bank failure processes, and accounts for the effects of hydraulic force, bank geometry, bank material properties, and probability of bank failure.

show abstract

Section: Introductionmentioning

confidence: 99%

Analytical Approach to Calculate Rate of Bank Erosion

Duan

2005

J. Hydraul. Eng.

View full text Add to dashboard Cite

show abstract

“…SSIIM has been successfully used to model flow and sediment transport in meandering self-forming channels [7]; 90 and 135º bends [8,9]; and overbank flow in a meandering channel [10]. Without detailed field measurements of the flow field and change in channel geometry over time, it is difficult to calibrate correctly the numerical model to simulate the current field conditions.…”

Section: Numerical Modelmentioning

confidence: 99%

Design of stream barbs for field scale application at Sawmill Creek, Ottawa

Jamieson¹,

Rennie²,

Townsend³

2009

WIT Transactions on Ecology and the Environment

View full text Add to dashboard Cite

A three-dimensional numerical model Simulation in Intakes with Multiblock option (SSIIM) was used to model the effects of placing a series of barbs along an unstable section of Sawmill Creek, a small urban stream in the city of Ottawa, Canada. Stream barbs (a type of submerged groyne) are low-profile linear rock structures that prevent the erosion of stream banks by redirecting high velocity flow away from the bank. As they can be built at a relatively low cost and also provide significant ecological benefit, these structures are an important and relatively new method of stream bank protection. The numerical model was used to assess various design alternatives for a series of seven stream barbs at two consecutive channel bends requiring stabilization measures along their outer banks. Design criteria were principally based on the goals of reducing local velocities, shear stress and subsequent erosion at the outside bank of each bend, and on moving the thalweg away from the (existing) outside bank regions towards the centre of the channel. This paper reports on (i) the unique site conditions and environmental protection requirements, (ii) the results of the numerical simulation, and (iii) the design methodology.

show abstract

“…They used the mixing length model for turbulence closure, and recommended that a fine mesh should be used in areas of severe erosion or deposition. Olsen (2003) and Olsen (2003, 2005a, b) developed a fully three dimensional model with an unstructured grid and showed model predictions of the evolution of a meandering channel. Their work focused on the formation of alternate bars and the initiation of a meandering channel starting from a straight channel.…”

Section: Introductionmentioning

confidence: 99%

“…Wan et al (2010) and investigated sediment deposition in a reservoir and Khan et al (2012) using a sediment evacuation model to minimize irrigation deficits. The 3-D morphodynamic model SSIIM (Olsen 2003) was applied in this case in order to reproduce the erosion and deposition patterns. The numerical model results agreed well with the experimental erosion and deposition patterns, but there were some differences between the model predicted and measured bed levels.…”

Section: Introductionmentioning

confidence: 99%

3D Layer-Integrated Modelling of Morphodynamic Processes Near River Regulated Structures

Faghihirad

Lin

Falconer

2016

Water Resour Manage

View full text Add to dashboard Cite

Sedimentation and erosion can significantly affect the performance of river regulated reservoirs. In the vicinity of flow control structures, the interaction between the hydrodynamics and sediment transport often induces complex morphological processes. It is generally very challenging to accurately predict these morphological processes in real applications. Details are given of the refinement and application of a three-dimensional (3-D) layer integrated model to predict the morphological processes in a river regulated reservoir. The model employs an Alternating Direction Implicit finite difference algorithm to solve the mass, momentum and suspended sediment transport conservation equations, and an explicit finite difference scheme for the bed sediment mass conservation equation for calculating bed level changes. The model is verified against experimental data reported in the literature. It is then applied to a scaled physical model of a regulated reservoir, including the associated intakes and sluice gates, to predict the velocity distributions, sediment transport rates and bed level changes in the vicinity of the hydraulic structures. It is found that the velocity distribution near an intake is non-uniform, resulting in a reduction in the suspended sediment flux through the intake and the formation of a sedimentation zone inside the reservoir.

show abstract

Three-Dimensional CFD Modeling of Self-Forming Meandering Channel

Cited by 140 publications

References 14 publications

Analytical Approach to Calculate Rate of Bank Erosion

Analytical Approach to Calculate Rate of Bank Erosion

Design of stream barbs for field scale application at Sawmill Creek, Ottawa

3D Layer-Integrated Modelling of Morphodynamic Processes Near River Regulated Structures

Contact Info

Product

Resources

About