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A unified Smoothed Particle Hydrodynamics (SPH) framework is proposed to simulate interaction dynamics involving thin shells modeled by a reduced-dimensional, single-layer particle discretization, as opposed to full-dimensional SPH solids.…

流体动力学 · 物理学 2026-02-24 Dong Wu , Shuaihao Zhang , Weiyi Kong , Xiangyu Hu

We review the current status of compact object simulations that are based on the Smooth Particle Hydrodynamics (SPH) method. The first main part of this review is dedicated to SPH as a numerical method. We begin by discussing relevant…

天体物理仪器与方法 · 物理学 2015-10-14 S. Rosswog

We provide a basic method of Smoothed Particle Hydrodynamics (SPH) to simulate liquid droplet with surface tension in three dimensions. Liquid droplet is a simple case for surface tension modeling. Surface tension works only on fluid…

流体动力学 · 物理学 2013-09-17 Hanifa Terissa , Agra Barecasco , Christian Fredy Naa

In the proceedings of this, and of several recent close binary conferences, there have been several contributions describing smoothed particle hydrodynamics simulations of accretion disks. It is apposite therefore to review the numerical…

天体物理学 · 物理学 2007-05-23 J. R. Murray , M. R. Truss , S. B. Foulkes , C. A. Haswell , K. Manson

A new variational inference method, SPH-ParVI, based on smoothed particle hydrodynamics (SPH), is proposed for sampling partially known densities (e.g. up to a constant) or sampling using gradients. SPH-ParVI simulates the flow of a fluid…

人工智能 · 计算机科学 2024-07-29 Yongchao Huang

The impact of liquid drops on a heated solid surface is of great importance in many engineering applications. This paper describes the simulation of the drop-wall interaction using the smoothed particle hydrodynamics (SPH) method. The SPH…

流体动力学 · 物理学 2018-08-14 Xiufeng Yang , Yaoyu Pan , Song-Charng Kong

The smoothed particle hydrodynamics (SPH) technique is a purely Lagrangian method, used in numerical simulations of fluids in astrophysics and computational fluid dynamics, among many other fields. SPH simulations with detailed physics…

The friction and diffusion coefficients of rigid spherical colloidal particles dissolved in a fluid are determined from velocity and force autocorrelation functions by mesoscale hydrodynamic simulations. Colloids with both slip and no-slip…

软凝聚态物质 · 物理学 2016-03-10 Mario Theers , Elmar Westphal , Gerhard Gompper , Roland G. Winkler

We present the smoothed-particle hydrodynamics implementation SPHGal, which combines some recently proposed improvements in GADGET. This includes a pressure-entropy formulation with a Wendland kernel, a higher order estimate of velocity…

宇宙学与河外天体物理 · 物理学 2014-07-30 Chia-Yu Hu , Thorsten Naab , Stefanie Walch , Benjamin P. Moster , Ludwig Oser

The unavailability of accurate boundary treatment methods for compressible Smoothed Particle Hydrodynamics (SPH) severely limits its ability to simulate flows in and around bodies. To this end, challenges specific to compressible flows with…

流体动力学 · 物理学 2024-08-27 Navaneet Villodi , Prabhu Ramachandran

Sediment transport over an erodible sediment bed is studied by particle resolved simulations with a hybrid parallel approach. To overcome the challenges of load imbalance in the traditional domain decomposition method when encountering…

流体动力学 · 物理学 2022-07-27 Zhengping Zhu , Ruifeng Hu , Yinghaonan Lei , Lian Shen , Xiaojing Zheng

A new means of incorporating radiative transfer into smoothed particle hydrodynamics (SPH) is introduced, which builds on the success of two previous methods - the polytropic cooling approximation as devised by Stamatellos et al (2007), and…

天体物理学 · 物理学 2009-11-13 Duncan Forgan , Ken Rice , Dimitris Stamatellos , Anthony Whitworth

We present a direct numerical simulation method for investigating the dynamics of dispersed particles in a compressible solvent fluid. The validity of the simulation is examined by calculating the velocity relaxation of an impulsively…

软凝聚态物质 · 物理学 2015-06-04 Rei Tatsumi , Ryoichi Yamamoto

This article concerns numerical simulations of the dynamics of particles immersed in a continuum solvent. As prototypical systems, we consider colloidal dispersions of spherical particles and solutions of uncharged polymers. After a brief…

软凝聚态物质 · 物理学 2009-11-13 Burkhard Duenweg , Anthony J. C. Ladd

Compositional simulation is challenging, because of highly nonlinear couplings between multi-component flow in porous media with thermodynamic phase behavior. The coupled nonlinear system is commonly solved by the fully-implicit scheme.…

计算物理 · 物理学 2020-10-13 Jiamin Jiang , Xian-Huan Wen

In several capillary dynamics experiments, the liquid domain is confined by pinning the three-phase contact line along a sharp edge or a discontinuity on the substrate. Simulating the dynamics of pinned droplets can offer valuable insights…

流体动力学 · 物理学 2025-09-15 Subrat Kumar Nayak , Amitabh Bhattacharya , Prapanch Nair

We present the first implementation of hyperbolic thermal conduction in smoothed particle hydrodynamics (SPH). Hyperbolic conduction is a physically-motivated alternative to traditional, parabolic conduction. It incorporates a relaxation…

天体物理仪器与方法 · 物理学 2023-10-25 N. A. Owens , J. Wadsley

We present a hybrid method for the simulation of colloidal systems, that combines molecular dynamics (MD) with the Lattice-Boltzmann (LB) scheme. The LB method is used as a model for the solvent in order to take into account the…

软凝聚态物质 · 物理学 2009-11-11 Apratim Chatterji , Juergen Horbach

The study of the shape of droplets on surfaces is an important problem in the physics of fluids and has applications in multiple industries, from agrichemical spraying to microfluidic devices. Motivated by these real-world applications,…

流体动力学 · 物理学 2025-08-20 Riley M Whebell , Timothy J Moroney , Ian W Turner , Ravindra Pethiyagoda , Scott W McCue

This study introduces a Riemann-based Smoothed Particle Hydrodynamics (SPH) framework for the stable and accurate simulation of surface tension in multiphase flows, with density and viscosity ratios as high as 1000 and 100, respectively.…

流体动力学 · 物理学 2025-03-21 Shuaihao Zhang , Sérgio D. N. Lourenço , Xiangyu Hu