Moving finite element method: applications to science and engineering problems

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Abstract

This paper is concerned with the formulation and development of a numerical moving mesh method to solve time-dependent reaction–diffusion–convection problems. The first part of this contribution gives an overview of the moving finite element method (MFEM) formulated with a piecewise higher degree polynomial basis in space. In the second part, applications are presented in order to give a convincing demonstration that the proposed moving finite element method is a powerful tool to compute numerical solution of a large class of 1D and 2D problems modeled by time-dependent partial differential equations (PDE). Numerical results are described which illustrate some important features of the proposed moving finite element method for solving problems in one and two-dimensional space domains.

Introduction

Many problems in science and engineering are formulated in terms of time-dependent partial differential equations (PDE). It is well known that due to the moving steep fronts present in the solution these problems present serious numerical difficulties. This has been illustrated in the treatment of several chemical engineering problems (Quinta-Ferreira et al., 1992a, Quinta-Ferreira et al., 1992b; Rodrigues & Quinta-Ferreira, 1988, Rodrigues & Quinta-Ferreira, 1990). The usual approach to this kind of problems is based on finite differences schemes for the discretization of the PDE. Finite differences are widely used but oscillations can appear in the solutions. Other techniques such as orthogonal collocations method on finite elements revealed better performance as Quinta-Ferreira et al. (1992b), demonstrated. In order to solve problems with sharp variations of the solution we present an approach where the mesh moves dynamical to capture the sharp front with a small number of space nodes. Moving finite element method (MFEM) is a discretization technique on continuously deforming spatial grids introduced by Miller and Miller (1981) to deal with time-dependent partial differential equations involving fine scale phenomena such as moving fronts, pulses and shocks. In the literature (Baines, 1994) several formulations of the moving finite element method using piecewise linear functions as its finite dimensional approximation are described. In our formulation solutions are calculated using a Galerkin approach with a piecewise higher degree polynomial basis in space (Coimbra, Sereno, & Rodrigues, 2003). Numerical results are described which illustrate some important features of the proposed moving finite element method for solving problems in 1D and 2D dimensional space domains. In order to clarify the effects of the different method parameters we pay special attention to the analysis of nodes movements and its relations with the choice of the initial grid, the degree of the approximations and other parameters such as penalty constants and tolerance errors. In 1D, we choose a problem from mathematical biology, which describes an ionic flow across a semi-infinite nerve membrane and a problem from chemical engineering concerning diffusion-convection and reaction in a catalytic particle. In 2D the moving finite element method will be used in the simulation of a fixed bed heat transfer transient model, which includes axial and radial dispersion.

Section snippets

Overview of the MFEM

The present paper follows our two earlier contributions, Coimbra et al., 2000, Coimbra et al., 2003 where we have presented the formal treatment of moving finite element method with a piecewise higher degree polynomial basis in space. This formulation is based on the work performed by Sereno et al., 1991, Sereno et al., 1992 where the MFEM is developed and applied to the solution of time-dependent PDE in 1D. Without loss of generality we will only describe our formulation of MFEM in 2D. The

Numerical examples

The use of a code based on MFEM to solve a PDE requires that the user must specify some parameters such as the starting space grid or the time-tolerances for ODE solver. Additional parameters are included to define the degree of the approximations used, to control the distortion of the grid and to prevent the singularities of the mass matrix. The user must supply the minimal node distance (in 1D) or the minimal area for triangles (2D) as well two others parameters in order to define penalty

Conclusions

In this paper, we have presented a formulation of MFEM in one and two space dimension to construct efficient solutions of partial differential equations, which exhibit steep moving fronts. The numerical results presented in this paper show the capability of the moving finite element method to solve a set of rather diverse time-dependent problems. They show that, even with few nodes in space grid, the adaptivity of the grid allows the attainment of accurate solutions. The effects of the

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