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A discontinuous Galerkin method by patch reconstruction is proposed for Stokes flows. A locally divergence-free reconstruction space is employed as the approximation space, and the interior penalty method is adopted which imposes the normal…

数值分析 · 数学 2019-11-26 Ruo Li , Zhiyuan Sun , Zhijian Yang

We derive a compatible discretization method that relies heavily on the underlying geometric structure, and obeys the topological sequences and commuting properties that are constructed. As a sample problem we consider the…

数学物理 · 物理学 2013-04-29 Jasper Kreeft , Marc Gerritsma

We introduce a family of hybrid discretisations for the numerical approximation of optimal control problems governed by the equations of immiscible displacement in porous media. The proposed schemes are based on mixed and discontinuous…

数值分析 · 数学 2019-05-02 S. Kumar , R. Ruiz Baier , R. Sandilya

The main motivation of this work is the quantitative prediction and description of particle manipulation (displacement across streamlines) in microfluidic flow. Much attention has been paid recently to placing particles in fast oscillatory…

流体动力学 · 物理学 2026-03-24 Xuchen Liu

Inertial particles advected by a background flow can show complex structures. We consider inertial particles in a 2D Taylor-Green (TG) flow and characterize particle dynamics as a function of the particle's Stokes number using dynamic mode…

流体动力学 · 物理学 2021-02-11 Omstavan Samant , Jaya Kumar Alageshan , Sarveshwar Sharma , Animesh Kuley

A method to couple interparticle contact models with Stokesian dynamics (SD) is introduced to simulate colloidal aggregates under flow conditions. The contact model mimics both the elastic and plastic behavior of the cohesive connections…

软凝聚态物质 · 物理学 2015-03-20 Ryohei Seto , Robert Botet , Günter K. Auernhammer , Heiko Briesen

We introduce a lattice random walk discretisation scheme for stochastic differential equations (SDEs) that samples binary or ternary increments at each step, suppressing complex drift and diffusion computations to simple 1 or 2 bit random…

数值分析 · 数学 2026-02-18 Samuel Duffield , Maxwell Aifer , Denis Melanson , Zach Belateche , Patrick J. Coles

Multidimensional scaling (MDS) is a popular dimensionality reduction techniques that has been widely used for network visualization and cooperative localization. However, the traditional stress minimization formulation of MDS necessitates…

最优化与控制 · 数学 2016-12-22 Ketan Rajawat , Sandeep Kumar

We develop and implement a Bayesian approach for the estimation of the shape of a two dimensional annular domain enclosing a Stokes flow from sparse and noisy observations of the enclosed fluid. Our setup includes the case of direct…

最优化与控制 · 数学 2023-07-19 Jeff Borggaard , Nathan E. Glatt-Holtz , Justin A. Krometis

In this work, we analyze an unfitted discontinuous Galerkin discretization for the numerical solution of the Stokes system based on equal higher-order discontinuous velocities and pressures. This approach combines the best from both worlds,…

数值分析 · 数学 2022-04-06 Aikaterini Aretaki , Efthymios N. Karatzas , Georgios Katsouleas

We present the first convergence proof for an iso-parametric finite element discretization of two-phase Stokes flow in $\Omega \subset \mathbb{R}^d$, $d=2,3$, with interface dynamics governed by mean curvature. The proof relies on a crucial…

数值分析 · 数学 2025-09-25 Genming Bai , Harald Garcke , Shravan Veerapaneni

In this paper, authors focus effort on improving the conventional discrete velocity method (DVM) into a multiscale scheme in finite volume framework for gas flow in all flow regimes. Unlike the typical multiscale kinetic methods unified…

计算物理 · 物理学 2020-03-24 Ruifeng Yuan , Sha Liu , Chengwen Zhong

Conservation laws in the form of elliptic and parabolic partial differential equations (PDEs) are fundamental to the modeling of many problems such as heat transfer and flow in porous media. Many of such PDEs are stochastic due to the…

计算物理 · 物理学 2018-11-19 Amir H. Delgoshaie , Peter W. Glynn , Patrick Jenny , Hamdi A. Tchelepi

Recently, meshless methods have become popular in numerically solving partial differential equations and have been employed to solve equations governing fluid flows, heat transfer, and species transport. In the present study, a numerical…

流体动力学 · 物理学 2024-04-18 Akash Unnikrishnan , Vinod Narayanan , Surya Pratap Vanka

In this work, a new discretization approach for coupled free and porous-medium flows is introduced, which uses a finite volume staggered-grid method for the discretization of the Navier-Stokes equations in the free-flow subdomain, while a…

Smoothed dissipative particle dynamics (SDPD) is a widely used particle-based method for modelling soft matter systems at mesoscopic and macroscopic scales, offering thermodynamic consistency and direct control over the fluid's transport…

流体动力学 · 物理学 2025-10-22 Marina Echeverria Ferrero , Nicolas Moreno , Marco Ellero

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

The numerical simulation of incompressible flows is challenging due to the tight coupling of velocity and pressure. Projection methods offer an effective solution by decoupling these variables, making them suitable for large-scale…

数值分析 · 数学 2025-12-12 Mejdi Azaïez , Yayu Guo , Carlos Núñez Fernández , Samuele Rubino , Chuanju Xu

In this paper, we discuss the steady and time-dependent nonlinear convection-diffusion (advection-diffusion) equations with the Dirichlet boundary condition. For the steady nonlinear equation, we use an iteration method to reformulate the…

数值分析 · 数学 2025-07-28 Qiwei Feng , Catalin Trenchea

Variable viscosity arises in many flow scenarios, often imposing numerical challenges. Yet, discretisation methods designed specifically for non-constant viscosity are few, and their analysis is even scarcer. In finite element methods for…

数值分析 · 数学 2024-11-05 Felipe Galarce , Douglas R. Q. Pacheco