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相关论文: Practical Error Estimates for Reynolds' Lubricatio…

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Lubrication theory makes use of the assumptions of a long and thin fluid domain and a small scaled Reynolds number to formulate a linearized approximation to the Navier-Stokes equations. Extended lubrication theory aims to improve the model…

流体动力学 · 物理学 2026-03-05 Sarah Dennis , Thomas G. Fai

We study an expansion method for high-dimensional parabolic PDEs which constructs accurate approximate solutions by decomposition into solutions to lower-dimensional PDEs, and which is particularly effective if there are a low number of…

偏微分方程分析 · 数学 2016-11-08 Christoph Reisinger , Rasmus Wissmann

Lubrication theory is broadly applicable to the flow characterization of thin fluid films and the motion of particles near surfaces. We offer an extension to lubrication theory by starting with Stokes equations and considering higher-order…

流体动力学 · 物理学 2017-01-30 Behrouz Tavakol , Guillaume Froehlicher , Douglas P. Holmes , Howard A. Stone

Second-order two-scale expansions, a unified proof for the regularity of the correctors based on the translation invariant and a lemma for extracting $O(\epsilon)$ from the remainder term are presented for the second order nonlinear…

数学物理 · 物理学 2011-09-07 Zhang QiaoFu , Cui JunZhi

Lubrication expressions for the friction coefficients of a spherical particle moving in a fluid between and along two parallel solid walls are explicitly evaluated in the low-Reynolds-number regime. They are used to determine lubrication…

流体动力学 · 物理学 2009-11-13 M. L. Ekiel-Jezewska , E. Wajnryb , J. Blawzdziewicz , F. Feuillebois

We revisit the method of Carleman linearization for systems of ordinary differential equations with polynomial right-hand sides. This transformation provides an approximate linearization in a higher-dimensional space through the exact…

数值分析 · 数学 2017-11-08 Marcelo Forets , Amaury Pouly

The levelling of a thin liquid film has been analysed experimentally, theoretically, and numerically. The purpose of this contribution is to compare solutions from two different finite element models: one based on the 2D Navier-Stokes…

流体动力学 · 物理学 2017-08-04 Sandy Morris , Mathieu Sellier , Abdul Rahman Al Behadili

The Reynolds equation from lubrication theory and the Stokes equations for zero Reynolds number flows are distinct models for an incompressible fluid with negligible inertia. Here we investigate the sensitivity of the Reynolds equation to…

流体动力学 · 物理学 2026-03-05 Sarah Dennis , Thomas G. Fai

By application of the theory for second-order linear differential equations with two turning points developed in [Olver F.W.J., Philos. Trans. Roy. Soc. London Ser. A 278 (1975), 137-174], uniform asymptotic approximations are obtained in…

经典分析与常微分方程 · 数学 2015-11-25 Karen Ogilvie , Adri B. Olde Daalhuis

The Reynolds equation is derived from the incompressible Navier Stokes equations under the lubrication assumptions of a long and thin domain geometry and a small scaled Reynolds number. The Reynolds equation is an elliptic differential…

数值分析 · 数学 2026-03-05 Sarah Dennis , Thomas G. Fai

In \cite{liu2022practical}, a general algorithm is developed to efficiently obtain the best accuracy using the regular refinement. The adaptive refinement allows for obtaining an accuracy with a smaller number of DoFs compared with the…

数值分析 · 数学 2025-03-25 Jie Liu

We prove that the lubrication approximation is perturbed by a non-regular roughness of the boundary. We show how the flow may be accelerated using adequate rugosity profiles on the bottom. We explicit the possible effects of some abrupt…

偏微分方程分析 · 数学 2010-02-18 Catherine Choquet , Laurent Chupin , Marguerite Gisclon

We derive a novel and rigorous correction to the classical Reynolds lubrication approximation for fluids with viscosity depending upon the pressure. Our analysis shows that the pressure dependence of viscosity leads to additional nonlinear…

经典分析与常微分方程 · 数学 2017-11-16 Tom Gustafsson , K. R. Rajagopal , R. Stenberg , J. Videman

We present a numerical method for rigorous over-approximation of a reachable set of differential inclusions. The method gives high-order error bounds for single step approximations and a uniform bound on the error over the finite time…

经典分析与常微分方程 · 数学 2012-06-29 Sanja Gonzalez Zivanovic , Pieter Collins

The aim of this paper is to derive a refined first-order expansion formula in Rn, the goal being to get an optimal reduced remainder, compared to the one obtained by usual Taylor's formula. For a given function, the formula we derived is…

数值分析 · 数学 2022-10-03 Joel Chaskalovic , Franck Assous

We obtain rigorous a priori upper and lower bounds to the exact period of the celebrated Rayleigh stretched string differential equation. We use them to show that Rayleigh's approximative period overestimates the true period and that the…

经典分析与常微分方程 · 数学 2026-03-09 Mark B. Villarino

Local grid refinement aims to optimise the relationship between accuracy of the results and number of grid nodes. In the context of the finite volume method no single local refinement criterion has been globally established as optimum for…

计算物理 · 物理学 2015-08-11 Alexandros Syrakos , Georgios Efthimiou , John G. Bartzis , Apostolos Goulas

We develop a systematic derivation for the Limber approximation to the angular cross-power spectrum of two random fields, as a series expansion in 1/(\ell+1/2). This extended Limber approximation can be used to test the accuracy of the…

天体物理学 · 物理学 2008-12-18 Marilena LoVerde , Niayesh Afshordi

Hamiltonian Truncation Methods are a useful numerical tool to study strongly coupled QFTs. In this work we present a new method to compute the exact corrections, at any order, in the Hamiltonian Truncation approach presented by Rychkov et…

高能物理 - 理论 · 物理学 2016-05-25 J. Elias-Miro , M. Montull , M. Riembau

We find convergent double series expansions for Legendre's third incomplete elliptic integral valid in overlapping subdomains of the unit square. Truncated expansions provide asymptotic approximations in the neighbourhood of the logarithmic…

经典分析与常微分方程 · 数学 2015-02-03 D. Karp , A. Savenkova , S. M. Sitnik
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