基于边界积分的光滑粒子流体动力学初始化算法

IF 7.2 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Parikshit Boregowda , Gui-Rong Liu
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引用次数: 0

摘要

SPH模拟中粒子分布初始化算法对提高模拟精度具有重要意义。然而,边界积分SPH模型没有这样的算法,它可以模拟复杂的几何形状,而不需要虚粒子层。介绍了基于边界积分的粒子初始化算法(BIPI)。它采用了一种精心设计的粒子填充算法来重新分配粒子以适应几何边界。BIPI算法使用SPH边界积分公式直接利用几何图形的边界信息。特别考虑了边界附近的粒子,以防止人为的体积压缩。因此,对于具有复杂几何形状的区域,BIPI算法可以生成浓度梯度降低的粒子分布。最后,通过实例验证了该算法的有效性,包括BIPI算法在流动问题中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A boundary integral based particle initialization algorithm for Smooth Particle Hydrodynamics
Algorithms for initializing particle distribution in SPH simulations are important for improving simulation accuracy. However, no such algorithms exist for boundary integral SPH models, which can model complex geometries without requiring layers of virtual particles. This study introduces the Boundary Integral based Particle Initialization (BIPI) algorithm. It employs a particle packing algorithm meticulously designed to redistribute particles to fit the geometry boundary. The BIPI algorithm directly utilizes the geometry's boundary information using the SPH boundary integral formulation. Special consideration is given to particles adjacent to the boundary to prevent artificial volume compression. The BIPI algorithm can hence generate a particle distribution with reduced concentration gradients for domains with complex geometrical shapes. Finally, several examples are presented to demonstrate the effectiveness of the proposed algorithm, including the application of the BIPI algorithm in flow problems.
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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