Kumpei Tsuji, Shujiro Fujioka, Daniel S. Morikawa, Mitsuteru Asai
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The second is modifying a volume-conserving particle shifting for seepage flow problems to maintain the apparent fluid density consistent with the spatially distributed porosity. Finally, we propose a newly geometric porosity estimation method automatically estimating numerical porosity referenced in the proposed PST from the soil particle distributions. Through simple convergence tests, we verify the convergence of truncation errors and the applicability limits of SPH(2) to simulate seepage flow problems. We also performed numerical simulations of hydrostatic pressure problems and dam-break experiments involving porous layers to demonstrate the proposed method’s excellent computational stability and volume conservation performance.</p></div>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":"12 2","pages":"1045 - 1073"},"PeriodicalIF":2.8000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40571-024-00856-2.pdf","citationCount":"0","resultStr":"{\"title\":\"A reliable SPH(2) formulation for Darcy–Forchheimer–Brinkman equation using a density-based particle shifting in the ALE description\",\"authors\":\"Kumpei Tsuji, Shujiro Fujioka, Daniel S. 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Finally, we propose a newly geometric porosity estimation method automatically estimating numerical porosity referenced in the proposed PST from the soil particle distributions. Through simple convergence tests, we verify the convergence of truncation errors and the applicability limits of SPH(2) to simulate seepage flow problems. 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A reliable SPH(2) formulation for Darcy–Forchheimer–Brinkman equation using a density-based particle shifting in the ALE description
This paper proposes a numerical framework to perform highly accurate simulations of seepage flow through porous media with the incompressible smoothed particle hydrodynamics (ISPH). Our approach follows the arbitrary Lagrangian–Eulerian description, which can introduce an arbitrary advection velocity for particle shifting techniques (PSTs) independently of the physical fluid velocity. The Darcy–Forchheimer–Brinkman equation is applied to deal with free surface flow and seepage flow simultaneously instead of the Navier–Stokes equation. There are three main improvements to solving this problem using ISPH. The first is replacing the SPH(2) with a highly accurate derivative operator. The second is modifying a volume-conserving particle shifting for seepage flow problems to maintain the apparent fluid density consistent with the spatially distributed porosity. Finally, we propose a newly geometric porosity estimation method automatically estimating numerical porosity referenced in the proposed PST from the soil particle distributions. Through simple convergence tests, we verify the convergence of truncation errors and the applicability limits of SPH(2) to simulate seepage flow problems. We also performed numerical simulations of hydrostatic pressure problems and dam-break experiments involving porous layers to demonstrate the proposed method’s excellent computational stability and volume conservation performance.
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.