自演化Navier-Stokes流形的曲线曲面ALE公式-稳定有限元公式

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Roger A. Sauer
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引用次数: 0

摘要

本文给出了自演化流形上Navier-Stokes流的任意拉格朗日-欧拉(ALE)曲面理论的稳定有限元公式。该配方具有物理框架不变性,适用于大变形,适用于肥皂膜、毛细管半月板和脂质膜等流体表面,这些流体表面是复杂且固有不稳定的物理系统。本文采用基于二次有限元和隐式时间积分的稳定压力-速度(或表面张力-速度)公式,将其应用于面积不可压缩表面流动。未知ALE网格运动由膜弹性决定,从而在不影响系统物理行为的情况下稳定平面内网格运动。所得的三场系统是单片耦合的,并在牛顿-雷普森解决方法内完全线性化。新公式在几个具有挑战性的例子中得到了证明,包括自演化表面上的剪切流和演化边界上部分流入的膨胀肥皂泡。在所有情况下都得到了最优的收敛速率。特别有利的是c1连续曲面离散化,例如基于NURBS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A curvilinear surface ALE formulation for self-evolving Navier-Stokes manifolds – stabilized finite element formulation
This work presents a stabilized finite element formulation of the arbitrary Lagrangian-Eulerian (ALE) surface theory for Navier-Stokes flow on self-evolving manifolds developed in Sauer [1]. The formulation is physically frame-invariant, applicable to large deformations, and relevant to fluidic surfaces such as soap films, capillary menisci and lipid membranes, which are complex and inherently unstable physical systems. It is applied here to area-incompressible surface flows using a stabilized pressure-velocity (or surface tension-velocity) formulation based on quadratic finite elements and implicit time integration. The unknown ALE mesh motion is determined by membrane elasticity such that the in-plane mesh motion is stabilized without affecting the physical behavior of the system. The resulting three-field system is monolithically coupled, and fully linearized within the Newton-Rhapson solution method. The new formulation is demonstrated on several challenging examples including shear flow on self-evolving surfaces and inflating soap bubbles with partial inflow on evolving boundaries. Optimal convergence rates are obtained in all cases. Particularly advantageous are C1-continuous surface discretizations, for example based on NURBS.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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