厌氧消化池的二维SPH模拟

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2022-04-02 DOI:10.1007/s40571-022-00474-w
Prashant Kumar, Soroush Dabiri, Wolfgang Rauch
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引用次数: 2

摘要

了解污水处理厂厌氧消化池内的流体动力学对于确保充分混合和随后的基质均匀分布具有重要意义。在本文中,我们展示了一个二维计算流体动力学模拟的现实世界的案例研究,重点是方法论和混合的操作。对于这项工作,dualspphysics,一个拉格朗日解算器,已经被探索作为一种替代更常用的欧拉解算器来研究消化槽内的缓慢运动动力学。拉格朗日解算器的选择主要是由于公式中固有的平流计算,从而允许厌氧消化过程的后续建模。比较了两种方法(欧拉法和拉格朗日法)的模拟结果,突出了使用光滑粒子流体力学的优点和缺点。在操作混合的情况下,采用了尾水管,在存在低速带和拉格朗日相干结构的基础上,研究了尾水管对速度分布的影响。取消尾水管后,低速区增加了21.38%,死体积从0.52%增加到1.2%。
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2D SPH simulation of an anaerobic digester

Understanding the hydrodynamics within the anaerobic digester tank of a wastewater treatment plant is of high importance to ensure sufficient mixing and subsequently a homogeneous distribution of the substrates. In this paper, we demonstrate a two-dimensional computational fluid dynamics simulation of a real-world case study focusing on both, the methodology and the operation of mixing. For this work, DualSPHysics, a Lagrangian solver, has been explored as an alternative to the more commonly used Eulerian solvers in studying the slow-moving dynamics inside a digester tank. This choice of a Lagrangian solver is primarily due to the inherent accounting for advection within the formulation, thus allowing for subsequent modelling of anaerobic digestion processes. A comparison has been made between the simulations from the two methods (Eulerian and Lagrangian), highlighting the benefits and the shortcomings of using smoothed particle hydrodynamics. Concerning operational mixing, the case relies on a draft tube, the effect of which on the velocity profiles has been studied based on the presence of low-velocity zones and Lagrangian coherent structures. Removing the draft tube results in an increase in low-velocity zones by 21.38% while the amount of dead volume increases from 0.52 to 1.2%.

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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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