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Suspensions with fiber-like particles in the low Reynolds number regime are modeled by two different approaches that both use a Lagrangian representation of individual particles. The first method is the well-established formulation based on…

计算工程、金融与科学 · 计算机科学 2015-03-25 Dominik Bartuschat , Ellen Fischermeier , Katarina Gustavsson , Ulrich Rüde

The deformation of a dense carpet of hair due to Stokes flow in a channel can be described by a nonlinear integro-differential equation for the shape of a single hair, which possesses several solutions for a given choice of parameters.…

流体动力学 · 物理学 2022-03-09 Jonas P. Smucker , Zerrin M. Vural , José R. Alvarado , Philip J. Morrison

The three-body general problem is formulated as a problem of geodesic trajectories flows on the Riemannian manifold. It is proved that a curved space with local coordinate system allows to detect new hidden symmetries of the internal motion…

数学物理 · 物理学 2020-06-30 A. S. Gevorkyan

The object of this paper is a one-dimensional generalized porous media equation (PDE) with possibly discontinuous coefficient $\beta$, which is well-posed as an evolution problem in $L^1(\mathbb{R})$. In some recent papers of Blanchard et…

概率论 · 数学 2010-11-17 Nadia Belaribi , François Cuvelier , Francesco Russo

Pseudospectral approximation provides a means to approximate the dynamics of delay differential equations (DDE) by ordinary differential equations (ODE). This article develops a computer-aided algorithm to determine the distance between the…

动力系统 · 数学 2024-05-14 Shane Kepley , Babette A. J. de Wolff

Many immersed boundary methods solve for surface stresses that impose the velocity boundary conditions on an immersed body. These surface stresses may contain spurious oscillations that make them ill-suited for representing the physical…

流体动力学 · 物理学 2016-07-20 Andres Goza , Sebastian Liska , Benjamin Morley , Tim Colonius

We propose an efficient threshold dynamics method for topology optimization for fluids modeled with the Stokes equation. The proposed algorithm is based on minimization of an objective energy function that consists of the dissipation power…

最优化与控制 · 数学 2018-12-27 Huangxin Chen , Haitao Leng , Dong Wang , Xiao-Ping Wang

This paper presents a class of turbulence models written in terms of fractional partial differential equations (FPDEs) with stochastic loads. Every solution of these FPDE models is an incompressible velocity field and the distribution of…

流体动力学 · 物理学 2021-07-01 Brendan Keith , Ustim Khristenko , Barbara Wohlmuth

A stochastic PDE, describing mesoscopic fluctuations in systems of weakly interacting inertial particles of finite volume, is proposed and analysed in any finite dimension $d\in\mathbb{N}$. It is a regularised and inertial version of the…

偏微分方程分析 · 数学 2021-02-10 Federico Cornalba , Tony Shardlow , Johannes Zimmer

A theory of flow stress, including the yield strength is proposed for the class of PC materials with equilibrium defect structure (EDS), which is established in the PC material after series of $N_0$ similar treatments of severe plastic…

材料科学 · 物理学 2021-03-09 Alexander A. Reshetnyak

We consider the quasistationary Stokes flow that describes the motion of a two-dimensional fluid body under the influence of surface tension effects in an unbounded, infinite-bottom geometry. We reformulate the problem as a fully nonlinear…

偏微分方程分析 · 数学 2024-04-25 Georg Prokert , Bogdan-Vasile Matioc

The method of regularized stokeslets is extensively used in biological fluid dynamics due to its conceptual simplicity and meshlessness. This simplicity carries a degree of cost in computational expense and accuracy because the number of…

流体动力学 · 物理学 2018-02-14 David J. Smith

Linear-scaling implementations of density functional theory (DFT) reach their intended efficiency regime only when applied to systems having a physical size larger than the range of their Kohn-Sham density matrix (DM). This causes a problem…

化学物理 · 物理学 2022-03-25 Marcel David Fabian , Ben Shpiro , Eran Rabani , Daniel Neuhauser , Roi Baer

Many forms of locomotion, both natural and artificial, are dominated by viscous friction in the sense that without power expenditure they quickly come to a standstill. From geometric mechanics, it is known that for swimming at the…

机器人学 · 计算机科学 2020-04-28 Matthew D. Kvalheim , Brian Bittner , Shai Revzen

Stochastic differential equations (SDEs) are of utmost importance in various scientific and industrial areas. They are the natural description of dynamical processes whose precise equations of motion are either not known or too expensive to…

统计方法学 · 统计学 2017-11-08 Philipp Frank , Theo Steininger , Torsten A. Enßlin

We present a method for approximating solutions of Stochastic Differential Equations (SDEs) with arbitrary rates. This approximation is derived for bounded and measurable test functions. Specifically, we demonstrate that, leveraging the…

概率论 · 数学 2024-03-27 Clément Rey

This work develops a quantitative homogenization theory for random suspensions of rigid particles in a steady Stokes flow, and completes recent qualitative results. More precisely, we establish a large-scale regularity theory for this…

偏微分方程分析 · 数学 2021-03-12 Mitia Duerinckx , Antoine Gloria

We study a 3D fluid-rigid body interaction problem. The fluid flow is governed by 3D incompressible Navier-Stokes equations, while the motion of the rigid body is described by a system of ordinary differential equations describing…

偏微分方程分析 · 数学 2023-07-07 Boris Muha , Šárka Nečasová , Ana Radošević

The direct-forcing immersed boundary method (DF-IBM) algorithm previously developed by the authors is extended by coupling the Navier-Stokes equations with the Newton-Euler equations for rigid body dynamics within the DF-IBM framework. This…

流体动力学 · 物理学 2026-04-28 E. Farah , A. Ouahsine , P. G. Verdin , B. Kaoui

Inspired by the numerical immersed boundary method, we introduce regularized Stokes immersed boundary problems in two dimensions to describe regularized motion of a 1-D closed elastic string in a 2-D Stokes flow, in which a regularized…

偏微分方程分析 · 数学 2019-04-23 Jiajun Tong