Table of Contents
Fetching ...

Space-time finite element analysis of the advection-diffusion equation using Galerkin/least-square stabilization

Biswajit Khara, Kumar Saurabh, Robert Dyja, Anupam Sharma, Baskar Ganapathysubramanian

TL;DR

This work presents a full space-time numerical solution of the advection-diffusion equation using a continuous Galerkin finite element method and derives a priori error estimates and illustrates spatio-temporal convergence with several numerical examples.

Abstract

We present a full space-time numerical solution of the advection-diffusion equation using a continuous Galerkin finite element method on conforming meshes. The Galerkin/least-square method is employed to ensure stability of the discrete variational problem. In the full space-time formulation, time is considered another dimension, and the time derivative is interpreted as an additional advection term of the field variable. We derive a priori error estimates and illustrate spatio-temporal convergence with several numerical examples. We also derive a posteriori error estimates, which coupled with adaptive space-time mesh refinement provide efficient and accurate solutions. The accuracy of the space-time solutions is illustrated against analytical solutions as well as against numerical solutions using a conventional time-marching algorithm.

Space-time finite element analysis of the advection-diffusion equation using Galerkin/least-square stabilization

TL;DR

This work presents a full space-time numerical solution of the advection-diffusion equation using a continuous Galerkin finite element method and derives a priori error estimates and illustrates spatio-temporal convergence with several numerical examples.

Abstract

We present a full space-time numerical solution of the advection-diffusion equation using a continuous Galerkin finite element method on conforming meshes. The Galerkin/least-square method is employed to ensure stability of the discrete variational problem. In the full space-time formulation, time is considered another dimension, and the time derivative is interpreted as an additional advection term of the field variable. We derive a priori error estimates and illustrate spatio-temporal convergence with several numerical examples. We also derive a posteriori error estimates, which coupled with adaptive space-time mesh refinement provide efficient and accurate solutions. The accuracy of the space-time solutions is illustrated against analytical solutions as well as against numerical solutions using a conventional time-marching algorithm.
Paper Structure (33 sections, 8 theorems, 94 equations, 32 figures, 4 tables)

This paper contains 33 sections, 8 theorems, 94 equations, 32 figures, 4 tables.

Key Result

Lemma 2.1

For ${\mathbold{a}} \in {\mathbold{V}}_{\text{div}}$ and $u_h \in V^D_h,\ v_h \in V_h$, the bilinear form def:discrete-bilinear-form is uniformly bounded on $V^D_h \times V_h$, i.e.,

Figures (32)

  • Figure 1: Schematic depiction of the space-time domain $U = \Omega \times I_T$, where $\Omega \subset \mathbb{R}^{d}$, and $I_T = [0,T] \subset \mathbb{R}^{+}.$
  • Figure 2: ${\mathbold{a}} = (0,0),\ \nu=10^{-2}$
  • Figure 3: ${\mathbold{a}} = 2\pi (-y+1/2,\ x-1/2),\ \nu=10^{-2}$
  • Figure 4: ${\mathbold{a}} = (0,0),\ \nu=10^{-6}$
  • Figure 5: ${\mathbold{a}} = 2\pi (-y+1/2,\ x-1/2),\ \nu=10^{-6}$
  • ...and 27 more figures

Theorems & Definitions (27)

  • Remark 1
  • Remark 2
  • Remark 3
  • Remark 4
  • Lemma 2.1: Boundedness
  • proof
  • Lemma 2.2: Coercivity
  • proof
  • Corollary 2.2.1
  • proof
  • ...and 17 more