Application of Smoothed Particle Hydrodynamics for modelling gated spillway flows

被引:17
|
作者
Saunders, Kate [1 ]
Prakash, Mahesh [1 ]
Cleary, Paul W. [1 ]
Cordell, Mark [2 ]
机构
[1] CSIRO Computat Informat, Clayton, Vic 3169, Australia
[2] SMEC, Melbourne, Vic 8008, Australia
关键词
Smoothed Particle Hydrodynamics; Spillway; Weir flow; Gated; Discharge rate; Physical model; SPH; SIMULATION; DYNAMICS;
D O I
10.1016/j.apm.2014.05.008
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Computational models of spillways are important for evaluating and improving dam safety, optimising spillway design and updating operating conditions. Traditionally, scaled down physical models have been used for validation and to collect hydraulic data. Computational fluid dynamics (CFD) models however provide advantages in time, cost and resource reduction. CFD models also provide greater efficiency when evaluating a range of spillway designs or operating conditions. Within the present literature, most studies of computational spillway models utilise a mesh-based method. In this work we use the particle based method of Smoothed Particle Hydrodynamics (SPH) to model weir flow through a four bay, gated, spillway system. Advantages of SPH for such modelling include automatic representation of the free surface flow behaviour due to the Lagrangian nature of the method, and the ability to incorporate complex and dynamic boundary objects such as gate structures or debris. To validate the SPH model, the reservoir water depth simulated is compared with a related physical study. The effect of SPH resolution on the predicted water depth is evaluated. The change in reservoir water level with discharge rates for weir flow conditions is also investigated, with the difference in simulated and experimental water depths found to range from 0.16% to 11.48%. These results are the first quantitative validation of the SPH method to capture spillway flow in three dimensions. The agreement achieved demonstrates the capability of the SPH method for modelling spillway flows. Crown Copyright (C) 2014 Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:4308 / 4322
页数:15
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