Publication

A gauge finite element method for the 2D Navier-Stokes problem

Philippe Caussignac
2008
Journal Articles

Abstract

We set up a gauge finite element formulation of the 2D steady state incompressible Stokes problem. This formulation allows to decouple the two unknowns from the equations and to take account for the boundary conditions in a non-iterative way. A finite element discretization is used to obtain numerical convergence results. The method is then applied to the Navier-Stokes equations (C) 2007 IMACS. Published by Elsevier B.V. All rights reserved.

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https://infoscience.epfl.ch/entities/publication/6ac17b4a-f060-4e05-b15b-5cb84ce955d9

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Philippe Caussignac
2008
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/6ac17b4a-f060-4e05-b15b-5cb84ce955d9

About this result

Related concepts (32)

Navier–Stokes equations

The Navier–Stokes equations (nævˈjeː_stəʊks ) are partial differential equations which describe the motion of viscous fluid substances, named after French engineer and physicist Claude-Louis Navier and Irish physicist and mathematician George Gabriel Stokes. They were developed over several decades of progressively building the theories, from 1822 (Navier) to 1842-1850 (Stokes). The Navier–Stokes equations mathematically express momentum balance and conservation of mass for Newtonian fluids.

Gauge theory

In physics, a gauge theory is a field theory in which the Lagrangian is invariant under local transformations according to certain smooth families of operations (Lie groups). The term gauge refers to any specific mathematical formalism to regulate redundant degrees of freedom in the Lagrangian of a physical system. The transformations between possible gauges, called gauge transformations, form a Lie group—referred to as the symmetry group or the gauge group of the theory. Associated with any Lie group is the Lie algebra of group generators.

Iterative method

In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate solutions for a class of problems, in which the n-th approximation is derived from the previous ones. A specific implementation with termination criteria for a given iterative method like gradient descent, hill climbing, Newton's method, or quasi-Newton methods like BFGS, is an algorithm of the iterative method.

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