scholarly journals Bed-load transport: From the beginning into the future

2018 ◽  
Vol 40 ◽  
pp. 05003
Author(s):  
Willi H. Hager

This research addresses bed-load transport in the fluvial environment. Based on the current knowledge, it is first noted that this problem is by far not solved. The eminent questions ask for a large experimental campaign by which the basic issues are solved first, and then expanded to more challenging topics relating to questions not included in the first stage involving uniform water and sediment flows. A number of currently available experimental techniques is mentioned by which a high-quality laboratory experimentation should be feasible. Next, the effects of various fundamental transport parameters should be cleared using both systematic experimentation and data analyses. An improved bed-load transport equation should be established first, by which the current tools are replaced to produce better agreement with prototype data. The role of computational hydraulics is also highlighted, to apply results to natural rivers. Froude similitude should be carefully applied so that the laboratory data can safely be transferred to prototype conditions, if the limitations are respected.

1995 ◽  
pp. 23-32
Author(s):  
Hitoshi Gotoh ◽  
Tetsuro Tsujimoto ◽  
Hiroji Nakagawa

2014 ◽  
Vol 70 (10) ◽  
pp. 1695-1701 ◽  
Author(s):  
Isa Ebtehaj ◽  
Hossein Bonakdari

The existence of sediments in wastewater greatly affects the performance of the sewer and wastewater transmission systems. Increased sedimentation in wastewater collection systems causes problems such as reduced transmission capacity and early combined sewer overflow. The article reviews the performance of the genetic algorithm (GA) and imperialist competitive algorithm (ICA) in minimizing the target function (mean square error of observed and predicted Froude number). To study the impact of bed load transport parameters, using four non-dimensional groups, six different models have been presented. Moreover, the roulette wheel selection method is used to select the parents. The ICA with root mean square error (RMSE) = 0.007, mean absolute percentage error (MAPE) = 3.5% show better results than GA (RMSE = 0.007, MAPE = 5.6%) for the selected model. All six models return better results than the GA. Also, the results of these two algorithms were compared with multi-layer perceptron and existing equations.


1995 ◽  
Vol 31 (8) ◽  
pp. 2071-2086 ◽  
Author(s):  
Jonathan M. Nelson ◽  
Ronald L. Shreve ◽  
Stephen R. McLean ◽  
Thomas G. Drake

1978 ◽  
Vol 84 (4) ◽  
pp. 609-624 ◽  
Author(s):  
Jørgen Fredsøe

The origin of meandering and braiding of alluvial rivers is re-analysed in terms of stability theory. The flow is described by a two-dimensional model, and the transportation of sediment is separated into bed-load transport and transport of suspended sediment, by use of the improved knowledge of sediment transport mechanisms achieved in recent years. The paper explains why it is important to distinguish between the sediment transported as bed load and that in suspension.The analysis is able to predict whether a river remains stable or tends to meander or braid.The results of the stability analysis are compared with laboratory experiments and data from natural rivers, and the agreement is satisfactory.


1977 ◽  
Vol 13 (2) ◽  
pp. 303-312 ◽  
Author(s):  
R. A. Bagnold

2019 ◽  
Vol 65 (2) ◽  
pp. 426-436
Author(s):  
Beatriz Marin‐Diaz ◽  
Tjeerd J. Bouma ◽  
Eduardo Infantes

2010 ◽  
Vol 13 (3) ◽  
pp. 78-87
Author(s):  
Hoai Cong Huynh

The numerical model is developed consisting of a 1D flow model and the morphological model to simulate the erosion due to the water overtopping. The step method is applied to solve the water surface on the slope and the finite difference method of the modified Lax Scheme is applied for bed change equation. The Meyer-Peter and Muller formulae is used to determine the bed load transport rate. The model is calibrated and verified based on the data in experiment. It is found that the computed results and experiment data are good agreement.


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