基于MPS法的显式不可压缩方案模拟坍落度流动

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Tibing Xu, Seiichi Koshizuka, Yohei Inaba, Yuichiro Gakuhari
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引用次数: 0

摘要

本文采用基于运动粒子半隐式方法(MPS)的显式不可压缩格式来模拟坍落度流动。在数值方法中,通过显式求解压力泊松方程得到压力场。在模拟新拌混凝土坍落度流动时,将流体处理为非牛顿流体,并采用正则化Bingham模型计算黏度。用数值方法再现了滑塌流的流动特征,与实验测量结果吻合较好。在模拟中考察了流变正则化参数、屈服应力、塑性粘度和颗粒距离等参数。结果表明,显式不可压缩格式能较好地再现混凝土的铺展过程。流变模型中的屈服应力对扩散距离有显著影响,而塑性粘度在材料扩散的加速阶段起重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An explicit incompressible scheme based on the MPS method to simulate slump flow

In this study, an explicit incompressible scheme based on the Moving Particle Semi-implicit method (MPS) is applied to simulate slump flow. In the numerical method, the pressure Poisson equation is explicitly solved to obtain the pressure field. In simulating slump flow caused by fresh concrete, the fluid is treated to be non-Newtonian fluid and a regularized Bingham model is employed to calculate the viscosity. Flow characteristics in the slump flow are reproduced by the numerical method, and in good agreement with experimental measurements. The parameters including the rheological regularized parameter, yield stress, plastic viscosity, and particle distance, are examined in the simulations. It is found that the explicit incompressible scheme can well reproduce the concrete spreading. The yield stress in the rheology model affects the spreading distance significantly while the plastic viscosity plays an important role in the acceleration stage of the material spreading.

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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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