Higher-order MPS models and higher-order Explicit Incompressible MPS (EI-MPS) method to simulate free-surface flows

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2025-03-22 DOI:10.1016/j.jcp.2025.113951
Tibing Xu , Seiichi Koshizuka , Tsuyoshi Koyama , Toshihide Saka , Osamu Imazeki
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Abstract

In this study, higher-order spatial models including the gradient model and Laplacian model based on Taylor's series and using their coordinates as coefficients are evaluated by calculating some simple functions and a diffusion problem. The numerical convergence is achieved by the models as the smaller particle distance can calculate more accurate results. By using the models, when the particle distribution is significantly irregular, increasing the search radius can involve more neighboring particles which consequently improves the accuracy. Based on the proposed higher-order models, the higher-order Explicit Incompressible version of the Moving Particle Semi-implicit method (EI-MPS) is developed. The numerical scheme is validated by simulating various free surface flows including the rotation of a fluid square patch, the impact of two identical rectangular fluid patches, oscillating drop under a central force field, a hydrostatic problem, and dam-break flow. The parameters of the particle distance, search radius, and repeated time in the pressure calculation are all examined in the free surface flows. The proposed method can reproduce the free surface variations, kinetic energy, and total energy variation in the violent flows. It can also obtain the hydrostatic pressure achieving numerical convergence. Increasing the search radius can result in larger errors in simulating the hydrostatic pressure. The impacting pressure caused by the dam-break flow is reflected by the method in good agreement with the experimental measurements.
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高阶MPS模型和高阶显式不可压缩MPS (EI-MPS)方法模拟自由表面流动
本文通过计算一些简单函数和一个扩散问题,对基于泰勒级数的梯度模型和拉普拉斯模型等高阶空间模型进行了求解,并以它们的坐标为系数。由于粒子距离越小,计算结果越精确,模型的数值收敛性越好。利用该模型,当粒子分布明显不规则时,增大搜索半径可以涉及更多的邻近粒子,从而提高搜索精度。基于所提出的高阶模型,提出了运动粒子半隐式方法的高阶显式不可压缩版本。通过模拟各种自由表面流动,包括方形流体块的旋转、两个相同矩形流体块的碰撞、中心力场下的振荡液滴、流体静力学问题和溃坝流,验证了数值方案的有效性。在自由表面流动中考察了压力计算中的粒子距离、搜索半径和重复时间等参数。该方法可以再现激流中的自由面变化、动能变化和总能量变化。该方法还可以得到数值收敛的静水压力。增大搜索半径会导致模拟静水压力的误差增大。该方法反映的溃坝水流产生的冲击压力与实验测量值吻合较好。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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