Lind Steven J, Rogers Benedict D, Stansby Peter K
Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.
Proc Math Phys Eng Sci. 2020 Sep;476(2241):20190801. doi: 10.1098/rspa.2019.0801. Epub 2020 Sep 9.
This paper presents a review of the progress of smoothed particle hydrodynamics (SPH) towards high-order converged simulations. As a mesh-free Lagrangian method suitable for complex flows with interfaces and multiple phases, SPH has developed considerably in the past decade. While original applications were in astrophysics, early engineering applications showed the versatility and robustness of the method without emphasis on accuracy and convergence. The early method was of weakly compressible form resulting in noisy pressures due to spurious pressure waves. This was effectively removed in the incompressible (divergence-free) form which followed; since then the weakly compressible form has been advanced, reducing pressure noise. Now numerical convergence studies are standard. While the method is computationally demanding on conventional processors, it is well suited to parallel processing on massively parallel computing and graphics processing units. Applications are diverse and encompass wave-structure interaction, geophysical flows due to landslides, nuclear sludge flows, welding, gearbox flows and many others. In the state of the art, convergence is typically between the first- and second-order theoretical limits. Recent advances are improving convergence to fourth order (and higher) and these will also be outlined. This can be necessary to resolve multi-scale aspects of turbulent flow.
本文综述了光滑粒子流体动力学(SPH)在高阶收敛模拟方面的进展。作为一种适用于具有界面和多相复杂流动的无网格拉格朗日方法,SPH在过去十年中取得了显著发展。虽然最初的应用是在天体物理学领域,但早期的工程应用展示了该方法的通用性和鲁棒性,不过当时并未强调精度和收敛性。早期的方法采用弱可压缩形式,由于虚假压力波导致压力出现噪声。随后出现的不可压缩(无散度)形式有效地消除了这一问题;从那时起,弱可压缩形式得到了改进,降低了压力噪声。现在,数值收敛研究已成为标准做法。虽然该方法在传统处理器上计算量较大,但非常适合在大规模并行计算和图形处理单元上进行并行处理。其应用领域广泛,包括波与结构相互作用、山体滑坡引起的地球物理流动、核污泥流动、焊接、齿轮箱流动等等。在当前技术水平下,收敛性通常处于一阶和二阶理论极限之间。本文还将概述近期在提高收敛性至四阶(及更高阶)方面的进展。这对于解决湍流的多尺度问题可能是必要的。