Modulating the lateral migration of a gravel bed channel using the coarse tail of the bed material distribution

2022 ◽  
Author(s):  
Brett C. Eaton ◽  
Lucy G. MacKenzie ◽  
Caitlin Tatham
Keyword(s):  
Material Distribution ◽  
Lateral Migration ◽  
Gravel Bed ◽  
Bed Material

scholarly journals The Prediction of Fine Sediment Distribution in Gravel-Bed Rivers Using a Combination of DEM and FNN

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1515
Author(s):  
Van Hieu Bui ◽  
Minh Duc Bui ◽  
Peter Rutschmann
Keyword(s):  
Feedforward Neural Networks ◽  
Fine Sediment ◽  
Sediment Distribution ◽  
Gravel Bed ◽  
Fine Sediments ◽  
Porosity Variation ◽  
Sediment Sorting ◽  
Gravel Bed Rivers ◽  
Bed Material ◽  
The Relationship

Large amounts of fine sediment infiltration into void spaces of coarse bed material have the ability to alter the morphodynamics of rivers and their aquatic ecosystems. Modelling the mechanisms of fine sediment infiltration in gravel-bed is therefore of high significance. We proposed a framework for calculating the sediment exchange in two layers. On the basis of the conventional approaches, we derived a two-layer fine sediment sorting, which considers the transportation of fine sediment in the form of infiltration into the void spaces of the gravel-bed. The relationship between the fine sediment exchange and the affected factors was obtained by using the discrete element method (DEM) in combination with feedforward neural networks (FNN). The DEM model was validated and applied for gravel-bed flumes with different sizes of fine sediments. Further, we developed algorithms for extracting information in terms of gravel-bed packing, grain size distribution, and porosity variation. On the basis of the DEM results with this extracted information, we developed an FNN model for fine sediment sorting. Analyzing the calculated results and comparing them with the available measurements showed that our framework can successfully simulate the exchange of fine sediment in gravel-bed rivers.

Changes in woody debris and bed material texture in a gravel-bed channel

Geomorphology ◽  
2004 ◽  
Vol 60 (3-4) ◽  
pp. 241-267 ◽  
Author(s):  
Judith K. Haschenburger ◽  
Stephen P. Rice
Keyword(s):  
Woody Debris ◽  
Gravel Bed ◽  
Material Texture ◽  
Bed Material

scholarly journals The dominance of dispersion in the evolution of bed material waves in gravel-bed rivers

2001 ◽  
Vol 26 (13) ◽  
pp. 1409-1420 ◽  
Author(s):  
Thomas E. Lisle ◽  
Yantao Cui ◽  
Gary Parker ◽  
James E. Pizzuto ◽  
Annjanette M. Dodd
Keyword(s):  
Gravel Bed ◽  
Gravel Bed Rivers ◽  
Bed Material

Research on Three-Dimensional Topology Optimization for the Bed of NC Gear Shaper

2013 ◽  
Vol 690-693 ◽  
pp. 2821-2825
Author(s):  
Qi Hua Tian ◽  
Ran Tao ◽  
Yi Xian Du
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Interpolation Method ◽  
Geometric Model ◽  
Three Dimensional ◽  
Optimality Criteria ◽  
Material Distribution ◽  
Design Variables ◽  
Three Dimensional Finite Element ◽  
Bed Material

Taking minimum compliance of the bed of YKS5120B-3 NC gear shaper as the optimization objective, and the three-dimensional finite element relative density as design variables, the three-dimensional topology optimization mathematical model is established based on the interpolation method of solid isotropic material. The optimality criteria algorithm is used to update design variables. Topology optimization design of loaded bed is conducted and the optimal bed material distribution in the design domain is obtained. The new geometric model of the bed is reconstructed according to the optimal bed material distribution. Comparing the static analyses results of original model of the bed with reconstructed model of the bed, the correctness and the validity of the proposed method is verified.

Accuracy of Surface Samples from Gravel Bed Material

1983 ◽  
Vol 109 (6) ◽  
pp. 842-851 ◽  
Author(s):  
Richard D. Hey ◽  
Colin R. Thorne
Keyword(s):  
Gravel Bed ◽  
Surface Samples ◽  
Bed Material
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