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Entrainment of Coarse Grains using a Discrete Particle Model

机译:使用离散粒子模型的粗粒夹带

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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:依靠时均边界剪切应力的传统床载运输模型和早期运动理论无法解决湍流中近床层速度波动的影响,因此容易产生重大误差。脉冲,即瞬时力大小及其持续时间的乘积,最近已被提出作为量化湍流对从床层表面去除粗粒的影响进行量化的适当标准。在这里,离散粒子模型(DPM)用于检查代表单个理想湍流事件的脉冲对粒子夹带的影响。根据谷物运动的程度将结果分为以下几类:夹带之前的运动,初始位移和高能位移。结果表明,在所有三种情况下,粒子运动的程度都取决于作用力的大小和作用时间,并建议必须充分考虑湍流的影响,以便开发出一种更精确的确定初始运动的方法。 DPM能够模拟颗粒夹带的动力学,是进一步研究沉积物运移基本机理的合适工具。

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