Numerical Model of Flow and Suspended Sediment Transport in the Reservoir of Rockfill Dam

Document Type : Original Article

Authors

1 Ph.D. student, Department of Water Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamadan, Iran

2 Department of Water Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamadan, Iran

3 Department of Civil Engineering, Bu-Ali Sina University, Hamadan, Iran

4 civil department-university of maragheh

Abstract

Building non-core rock-fill dams is certainly one of the most effective methods of controlling floods. In flood situations, the input-flow of these dams typically contains a considerable amount of sediments. This underscores the need to study the flow behavior and sediment concentrations so that one could identify the amount of passing and depositing sediments, and decide on their management, all of which have been taken into account in the present research. Thus, first, on the basis of numerical solution of saint-venant equations, the flow characteristics (e.g. depth and velocity) were calculated, using finite volume method with a completely implicit method, and then the concentration of the sediments at different points of the reservoir were determined, using discretization of the convection diffusion equation. The results of the experiments conducted on the reservoirs of rock-fill dams in the hydraulic laboratory of Bu Ali Sina Un., Hamedan were then employed to assess the functioning and validation of the mathematical model of flow simulator and sediment concentration. On the basis of the comparison drawn between the data yielded by measurement of sediment concentration and the calculations conducted in eight sections and three height layers of 5, 10 and 15cm in the reservoir of rock-fill dams, the mean value of the relative error of sediment concentration was found to be 9.17 percent, indication a good enough correspondence between the output of the mathematical simulator and the value measured in the experimental model.

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References

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Iran-Water Resources Research
Volume 14, Issue 2
May 2018
Pages 53-69

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History

  • Receive Date: 03 July 2017
  • Revise Date: 01 November 2017
  • Accept Date: 01 November 2017

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