中文
相关论文

相关论文: A fluid particle model

200 篇论文

This paper exposes a novel exploratory formalism, which end goal is the numerical simulation of the dynamics of a cloud of particles weakly or strongly coupled with a turbulent fluid. Giventhe large panel of expertise of the list of…

偏微分方程分析 · 数学 2019-10-21 Ludovic Goudenège , Adam Larat , Julie Llobell , Marc Massot , David Mercier , Olivier Thomine , Aymeric Vié

The aim of this paper is to calculate the time dependence of the mean position (and orientation) of a fluid particle when a fluid system at thermodynamic equilibrium is submitted to a mechanical action. The starting point of this novel…

软凝聚态物质 · 物理学 2022-04-25 Frederic Aitken , Ferdinand Volino

We have proposed a method for the dynamic simulation of a collection of self-propelled particles in a viscous Newtonian fluid. We restrict attention to particles whose size and velocity are small enough that the fluid motion is in the…

软凝聚态物质 · 物理学 2015-05-13 Vishwajeet Mehandia , Prabhu R. Nott

The continuum theory of partially fluidized shear granular flows is tested and calibrated using two dimensional soft particle molecular dynamics simulations. The theory is based on the relaxational dynamics of the order parameter that…

材料科学 · 物理学 2009-11-10 D. Volfson , L. S. Tsimring , I. S. Aranson

A recently introduced particle-based model for fluid dynamics with effective excluded volume interactions is analyzed in detail. The interactions are modeled by means of stochastic multiparticle collisions which are biased and depend on…

软凝聚态物质 · 物理学 2007-05-23 Thomas Ihle , Erkan Tuzel

A recently introduced particle-based model for fluid dynamics with continuous velocities is generalized to model fluids with excluded volume effects. This is achieved through the use of biased stochastic multi-particle collisions which…

软凝聚态物质 · 物理学 2007-05-23 Erkan Tuzel , Thomas Ihle , Daniel M. Kroll

Dissipative particle dynamics (DPD) belongs to a class of models and computational algorithms developed to address mesoscale problems in complex fluids and soft matter in general. It is based on the notion of particles that represent…

统计力学 · 物理学 2017-05-24 Pep Español , Patrick B Warren

Particle methods are less computationally efficient than grid based numerical solution of the Navier Stokes equation. However, they have important advantages including rigorous mass conservation, momentum conservation and isotropy. In…

流体动力学 · 物理学 2024-06-26 Paul Meakin , Zhijie Xu

This work presents the mathematical and computational aspects of a smooth dissipative particle dynamics with dynamic virtual particle allocation method (SDPD-DV) for modeling and simulation of mesoscopic fluids in wall-bounded domains. The…

流体动力学 · 物理学 2017-08-24 Jun Yang

A new method is proposed to numerically extract the diffusivity of a (typically nonlinear) diffusion equation from underlying stochastic particle systems. The proposed strategy requires the system to be in local equilibrium and have…

统计力学 · 物理学 2018-05-09 Peter Embacher , Nicolas Dirr , Johannes Zimmer , Celia Reina

Dense mixture of granules and liquid often shows a sever shear thickening and is called a dilatant fluid. We construct a fluid dynamics model for the dilatant fluid by introducing a phenomenological state variable for a local state of…

软凝聚态物质 · 物理学 2015-06-03 Hiizu Nakanishi , Shin-ichiro Nagahiro , Namiko Mitarai

In the variational principle leading to the Euler equation for a perfect fluid, we can use the method of undetermined multiplier for holonomic constraints representing mass conservation and adiabatic condition. For a dissipative fluid, the…

流体动力学 · 物理学 2012-06-03 Hiroki Fukagawa , Youhei Fujitani

Humans can easily describe, imagine, and, crucially, predict a wide variety of behaviors of liquids--splashing, squirting, gushing, sloshing, soaking, dripping, draining, trickling, pooling, and pouring--despite tremendous variability in…

人工智能 · 计算机科学 2020-07-01 Christopher J. Bates , Ilker Yildirim , Joshua B. Tenenbaum , Peter Battaglia

A universal particle velocity based algorithm for simulating hydraulic fractures, previously proposed for Newtonian fluids, is extended to the class of shear-thinning fluids. The scheme is not limited to any particular elasticity operator…

流体动力学 · 物理学 2015-10-09 Monika Perkowska , Michal Wrobel , Gennady Mishuris

The manipulation and control of microparticles through non-intrusive methods is pivotal in biomedical applications such as cell sorting and cell focusing. Although several experimental and numerical studies have been dedicated to single…

流体动力学 · 物理学 2023-12-20 Giancarlo Esposito , Gaetano D'Avino , Massimiliano Maria Villone

This dissertation is about the study of three important issues in the theory of relativistic fluid dynamics: the stability of dissipative fluid dynamics, the shear viscosity, and fluid dynamics with triangle anomaly.(1)The second order…

高能物理 - 唯象学 · 物理学 2011-08-31 Shi Pu

A new class of integro-partial differential equation models is derived for the prediction of granular flow dynamics. These models are obtained using a novel limiting averaging method (inspired by techniques employed in the derivation of…

混沌动力学 · 物理学 2015-06-26 Denis Blackmore , Roman Samulyak , Anthony Rosato

We present a formalism for Newtonian multi-fluid hydrodynamics derived from an unconstrained variational principle. This approach provides a natural way of obtaining the general equations of motion for a wide range of hydrodynamic systems…

流体动力学 · 物理学 2009-11-07 Reinhard Prix

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

Dynamics of the particle phase in a particle laden turbulent flow is highly influenced by the fluctuating velocity and vorticity field of the fluid phase. The present work mainly focuses on exploring the possibility of applying a Langevin…

流体动力学 · 物理学 2021-06-08 Swagnik Ghosh , Partha Sarathi Goswami