中文
相关论文

相关论文: Exponential BGK Integrator for Multi-Scale Particl…

200 篇论文

For increasingly rarefied flowfields, the Navier-Stokes (NS) equations lose accuracy partially due to the single temperature approximation. To overcome this barrier, a continuum multi-temperature model based on the Bhatnagar-Gross-Krook…

流体动力学 · 物理学 2018-10-12 Guiyu Cao , Hualin Liu , Kun Xu

Nonequilibrium flows are common in aerospace engineering, and numerical simulations are vital in understanding non-equilibrium flow dynamics in spacecraft flight. The unified gas-kinetic wave-particle (UGKWP) method has been developed for…

流体动力学 · 物理学 2024-07-23 Wenpei Long , Yufeng Wei , Kun Xu

The low-variance direct simulation Monte Carlo (LVDSMC) is a powerful method to simulate low-speed rarefied gas flows. However, in the near-continuum flow regime, due to limitations on the time step and spatial cell size, it takes plenty of…

流体动力学 · 物理学 2022-10-18 Liyan Luo , Qi Li , Lei Wu

An exponential time-integrator scheme of second-order accuracy based on the predictor-corrector methodology, denoted PCEXP, is developed to solve multi-dimensional nonlinear partial differential equations pertaining to fluid dynamics. The…

计算物理 · 物理学 2018-05-09 Shu-Jie Li , Li-Shi Luo , Z. J. Wang , Lili Ju

A unified gas kinetic scheme (UGKS) for multi-scale and multi-component plasma transport is constructed. The current scheme is a direct modeling method, where the time evolution solutions from the Vlasov-BGK equations of electron and ion…

计算物理 · 物理学 2017-12-21 Chang Liu , Kun Xu

In a recent paper we presented a new ultra efficient numerical method for solving kinetic equations of the Boltzmann type (G. Dimarco, R. Loubere, Towards an ultra efficient kinetic scheme. Part I: basics on the 689 BGK equation, J. Comp.…

数值分析 · 数学 2015-06-12 Giacomo Dimarco , Raphaël Loubere

The numerical simulation of multiphase flows involving dispersed components with large scale disparities, such as the collisions between millimeter-sized bubbles and micron-sized mineral particles in flotation, poses a significant…

流体动力学 · 物理学 2026-05-21 Linfeng Jiang , Enrico Calzavarini , Dominik Krug

Accelerated coarse-graining (CG) algorithms for simulating heterogeneous chemical reactions on surface systems have recently gained much attention. In the present paper, we consider such an issue by investigating the oscillation behavior of…

统计力学 · 物理学 2011-04-18 Ting Rao , Zhen Zhang , Zhonghuai Hou , Houwen Xin

We propose a BGK-type kinetic model for a binary gas mixture, designed to serve as a kinetic formulation of compressible two-phase fluid dynamics. The model features species-dependent adiabatic exponents, and the relaxation operator is…

偏微分方程分析 · 数学 2025-06-25 Seung Yeon Cho , Young-Pil Choi , Byung-Hoon Hwang , Sihyun Song

It is well known that the number of particles should be scaled up to enable industrial scale simulation. The calculations are more computationally intensive when the motion of the surrounding fluid is considered. Besides the advances in…

计算物理 · 物理学 2014-07-28 Hao Zhang , F. Xavier Trias , Assensi Oliva , Dongmin Yang , Yuanqiang Tan , Shi Shu , Yong Sheng

We introduce a class of exponential Runge-Kutta integration methods for kinetic equations. The methods are based on a decomposition of the collision operator into an equilibrium and a non equilibrium part and are exact for relaxation…

数值分析 · 数学 2010-10-08 Giacomo Dimarco , Lorenzo Pareschi

In this paper we prove the convergence of a suitable particle system towards the BGK model. More precisely, we consider an interacting stochastic particle system in which each particle can instantaneously thermalize locally. We show that,…

数学物理 · 物理学 2021-04-20 Paolo Buttà , Maxime Hauray , Mario Pulvirenti

A novel particle merging algorithm for rarefied gas dynamics simulations is proposed that can conserve arbitrary velocity and spatial moments of the particle distribution via solving a non-negative least squares problem. An extension that…

计算物理 · 物理学 2026-04-02 Georgii Oblapenko , Manuel Torrilhon

Numerical simulation of numerous mm/cm-sized particles embedded in a gaseous disk has become an important tool in the study of planet formation and in understanding the dust distribution in observed protoplanetary disks. However, the mutual…

天体物理仪器与方法 · 物理学 2016-06-22 Chao-Chin Yang , Anders Johansen

In the study of gas dynamics, theoretical modeling and numerical simulation are mostly set up with deterministic settings. Given the coarse-grained modeling in theories of fluids, considerable uncertainties may exist between flow-field…

计算物理 · 物理学 2020-08-07 Tianbai Xiao

Rarefied gas effects are of critical importance for the aerodynamic performance of hypersonic vehicles operating at high altitudes. In these scenarios, conventional computational fluid dynamics (CFD) solvers break down as the linear…

流体动力学 · 物理学 2026-05-25 Wenpei Long , Junzhe Cao , Yue Zhang , Kun Xu

In this work, we derive particle schemes, based on micro-macro decomposition, for linear kinetic equations in the diffusion limit. Due to the particle approximation of the micro part, a splitting between the transport and the collision part…

数值分析 · 数学 2017-01-19 Anaïs Crestetto , Nicolas Crouseilles , Mohammed Lemou

While accurate simulations of dense gas flows far from the equilibrium can be achieved by Direct Simulation adapted to the Enskog equation, the significant computational demand required for collisions appears as a major constraint. In order…

计算物理 · 物理学 2023-08-11 Mohsen Sadr , M. Hossein Gorji

We formulate the optimal flow problem in a multi-area integrated electrical and gas system as a mixed-integer optimization problem by approximating the non-linear gas flows with piece-wise affine functions, thus resulting in a set of…

最优化与控制 · 数学 2022-09-13 Wicak Ananduta , Sergio Grammatico

Adjoint based shape optimization is a powerful technique in fluid-dynamics optimization, capable of identifying an optimal shape within only dozens of design iterations. However, when extended to rarefied gas flows, the computational cost…

计算物理 · 物理学 2025-11-25 Yanbing Zhang , Ruifeng Yuan , Lei Wu