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Entrainment of Coarse Grains using a Discrete Particle Model

机译:使用离散粒子模型夹带粗粒

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Conventional bedload transport models and incipient motion theories relying on a time-averaged boundary shear stress are incapable of accounting for the effects of fluctuating near-bed velocity in turbulent flow and are therefore prone to significant errors. Impulse, the product of an instantaneous force magnitude and its duration, has been recently proposed as an appropriate criterion for quantifying the effects of flow turbulence in removing coarse grains from the bed surface. Here, a discrete particle model (DPM) is used to examine the effects of impulse, representing a single idealized turbulent event, on particle entrainment. The results are classified according to the degree of grain movement into the following categories: motion prior to entrainment, initial dislodgement, and energetic displacement. The results indicate that in all three cases the degree of particle motion depends on both the force magnitude and the duration of its application and suggest that the effects of turbulence must be adequately accounted for in order to develop a more accurate method of determining incipient motion. DPM is capable of simulating the dynamics of grain entrainment and is an appropriate tool for further study of the fundamental mechanisms of sediment transport.
机译:传统的床单运输模型和初级平均边界剪切应力的初始运动理论是无法算起波动近床速度在湍流中的影响,因此容易出现显着的误差。脉冲,最近已经提出了瞬时力幅度及其持续时间的乘积作为定量流动湍流的影响从床表面去除粗粒的适当标准。这里,离散粒子模型(DPM)用于检查脉冲的效果,代表粒子夹带的单个理想湍流事件。结果根据粮食运动程度分类为以下类别:在夹带,初始脱臼和精力充沛的流离失所之前的运动。结果表明,在所有三种情况下,粒子运动程度取决于力量幅度和其应用的持续时间,并表明必须充分算上湍流的影响,以便开发更准确的确定初期运动的方法。 DPM能够模拟谷物夹带的动态,是进一步研究沉积物运输的基本机制的适当工具。

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