Non-hydrostatic shallow flow model of particle tracking in basin with various bathymetry

IF 2.5 3区 工程技术 Q2 MECHANICS
Mohammad Reza Jalali , Mohammad Mahdi Jalali
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引用次数: 0

Abstract

In the present paper, Green-Naghdi (GN) model is applied to investigate the movement of particles in a basin with flat and non-flat bathymetry. Two numerical discretisation, second-order central difference and fourth-order central difference, are used as numerical solvers of GN model. The developed GN model is verified against the analytical solution of the linearised shallow water equations by using benchmark test of free surface sloshing of an initial Gaussian hump in a closed square basin. Then, the flow fields of evolution of sloshing motion of Gaussian hump are used to perform Lagrangian particle tracking. Four scenarios of particle tracking are studied for a basin with flat and non-flat bathymetry. First, is the case of flat-bed basin. Second, is where the bed topography of basin contains rocky hump in its centre. Third, is where the bed topography of basin contains rocky trough in its centre and in the fourth case bed topography of basin containing rocky hump in its corner is studied. Particle positions are predicted for each scenario and are compared with each other. The developed model shows remarkable capability to correctly predict the positions of particles of all scenarios.
不同水深条件下盆地颗粒跟踪的非静水浅流模型
本文应用Green-Naghdi (GN)模型研究了具有平坦和非平坦水深的盆地中粒子的运动。采用二阶中心差分和四阶中心差分两种数值离散方法作为GN模型的数值求解器。通过封闭方形盆地中初始高斯峰的自由表面晃动基准试验,验证了所建立的GN模型与线性化浅水方程解析解的一致性。然后,利用高斯驼峰晃动运动演化流场进行拉格朗日粒子跟踪。研究了具有平坦测深和非平坦测深的盆地的四种粒子跟踪情况。首先,是平板盆地的情况。二是盆地底部地形在其中心含有岩峰的地方。三是研究中心含岩槽的盆地床层地形,四是研究角部含岩峰的盆地床层地形。在每种情况下预测粒子位置,并相互比较。所建立的模型能够准确预测各种情况下粒子的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.90
自引率
3.80%
发文量
127
审稿时长
58 days
期刊介绍: The European Journal of Mechanics - B/Fluids publishes papers in all fields of fluid mechanics. Although investigations in well-established areas are within the scope of the journal, recent developments and innovative ideas are particularly welcome. Theoretical, computational and experimental papers are equally welcome. Mathematical methods, be they deterministic or stochastic, analytical or numerical, will be accepted provided they serve to clarify some identifiable problems in fluid mechanics, and provided the significance of results is explained. Similarly, experimental papers must add physical insight in to the understanding of fluid mechanics.
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