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Incompressible smoothed particle hydrodynamics for free-surface flows: A generalised diffusion-based algorithm for stability and validations for impulsive flows and propagating waves

机译:自由表面流的不可压缩平滑粒子流体动力学:基于广义扩散的算法,用于脉冲流和传播波的稳定性和验证

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摘要

The incompressible smoothed particle hydrodynamics (ISPH) method with projection-based pressure correction has been shown to be highly accurate and stable for internal flows and, importantly for many problems, the pressure field is virtually noise-free in contrast to the weakly compressible SPH approach (Xu et al., 2009 [31]). However for almost inviscid fluids instabilities at the free surface occur due to errors associated with the truncated kernels. A new algorithm is presented which remedies this issue, giving stable and accurate solutions to both internal and free-surface flows. Generalising the particle shifting approach of Xu et al. (2009) [31], the algorithm is based upon Fick's law of diffusion and shifts particles in a manner that prevents highly anisotropic distributions and the onset of numerical instability. The algorithm is validated against analytical solutions for an internal flow at higher Reynolds numbers than previously, the flow due to an impulsively started plate and highly accurate solutions for wet bed dam break problems at zero and small times. The method is then validated for progressive regular waves with paddle motion defined by linear theory. The accurate predictions demonstrate the effectiveness of the algorithm in stabilising solutions and minimising the surface instabilities generated by the inevitable errors associated with truncated kernels. The test cases are thought to provide a more thorough quantitative validation than previously undertaken.
机译:具有基于投影的压力校正的不可压缩的平滑粒子流体动力学(ISPH)方法已被证明对内部流动非常准确且稳定,并且对于许多问题,重要的是,与弱压缩SPH方法相比,压力场实际上是无噪声的(Xu et al。,2009 [31])。但是,对于几乎不粘稠的流体,由于与截断的籽粒相关的误差,在自由表面上会出现不稳定性。提出了一种新算法来弥补这一问题,为内部和自由表面流动提供稳定而准确的解决方案。概括了徐等人的粒子移动方法。 (2009)[31],该算法基于菲克扩散定律并以防止高度各向异性分布和数值不稳定性发生的方式移动粒子。该算法已针对雷诺数比以前更高的内部流动,由于冲动启动的板而产生的流动以及在零时间和零时间出现的湿床坝溃决问题的高精度解决方案的解析解决方案进行了验证。然后对该方法进行线性规则定义的桨运动渐进规则波验证。准确的预测证明了该算法在稳定解决方案和最小化由与截短的内核相关的不可避免的错误产生的表面不稳定性方面的有效性。测试用例被认为比以前提供了更彻底的定量验证。

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