A Fast Integral Equation Method for the Two-Dimensional Navier-Stokes Equations

08/20/2019
by   Ludvig af Klinteberg, et al.
0

The integral equation approach to partial differential equations (PDEs) provides significant advantages in the numerical solution of the incompressible Navier-Stokes equations. In particular, the divergence-free condition and boundary conditions are handled naturally, and the ill-conditioning caused by high order terms in the PDE is preconditioned analytically. Despite these advantages, the adoption of integral equation methods has been slow due to a number of difficulties in their implementation. This work describes a complete integral equation-based flow solver that builds on recently developed methods for singular quadrature and the solution of PDEs on complex domains, in combination with several more well-established numerical methods. We apply this solver to flow problems on a number of geometries, both simple and challenging, studying its convergence properties and computational performance. This serves as a demonstration that it is now relatively straightforward to develop a robust, efficient, and flexible Navier-Stokes solver, using integral equation methods.

READ FULL TEXT

page 25

page 27

page 28

page 29

research
12/15/2022

Representation of linear PDEs with spatial integral terms as Partial Integral Equations

In this paper, we present the Partial Integral Equation (PIE) representa...
research
02/11/2020

A robust solver for elliptic PDEs in 3D complex geometries

We develop a boundary integral equation solver for elliptic partial diff...
research
12/21/2020

An integral model based on slender body theory, with applications to curved rigid fibers

We propose a novel integral model describing the motion of curved slende...
research
07/04/2021

Lightning Stokes solver

Gopal and Trefethen recently introduced "lightning solvers" for the 2D L...
research
03/04/2022

Constructing Nitsche's method for variational problems

Nitsche's method is a well-established approach for weak enforcement of ...
research
03/18/2021

Evolutional Deep Neural Network

The notion of an Evolutional Deep Neural Network (EDNN) is introduced fo...
research
12/26/2022

Numerical solution of the incompressible Navier-Stokes equation by a deep branching algorithm

We present an algorithm for the numerical solution of systems of fully n...

Please sign up or login with your details

Forgot password? Click here to reset