Abstract

SummaryA second‐order face‐centred finite volume strategy on general meshes is proposed. The method uses a mixed formulation in which a constant approximation of the unknown is computed on the faces of the mesh. Such information is then used to solve a set of problems, independent cell‐by‐cell, to retrieve the local values of the solution and its gradient. The main novelty of this approach is the introduction of a new basis function, utilised for the linear approximation of the primal variable in each cell. Contrary to the commonly used nodal basis, the proposed basis is suitable for computations on general meshes, including meshes with different cell types. The resulting approach provides second‐order accuracy for the solution and first‐order for its gradient, without the need of reconstruction procedures, is robust in the incompressible limit and insensitive to cell distortion and stretching. The second‐order accuracy of the solution is exploited to devise an automatic mesh adaptivity strategy. An efficient error indicator is obtained from the computation of one extra local problem, independent cell‐by‐cell, and is used to drive mesh adaptivity. Numerical examples illustrating the approximation properties of the method and of the mesh adaptivity procedure are presented. The potential of the proposed method with automatic mesh adaptation is demonstrated in the context of microfluidics.

Highlights

  • Finite volume (FV) methods are one of the most popular computational methods for solving systems of conservation laws.[1,2,3,4] These methods are usually classified into two families, namely cell-centred FVs and vertex-centred FVs depending on the definition of the unknowns at the centroids or at the vertices of the cells respectively

  • This is expected due to the higher accuracy of the approximation computed with the proposed second-order face-centred finite volume (FCFV), when compared to the accuracy of the first-order solution obtained by solving the extra local problem of equation (46)

  • This paper proposed a formulation of the second-order FCFV method for elliptic problems suitable for application in general meshes of triangular and quadrilateral cells in two dimensions and tetrahedral, hexahedral, prismatic and pyramidal cells in three dimensions

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Summary

Introduction

Finite volume (FV) methods are one of the most popular computational methods for solving systems of conservation laws.[1,2,3,4] These methods are usually classified into two families, namely cell-centred FVs and vertex-centred FVs depending on the definition of the unknowns at the centroids or at the vertices of the cells respectively. The main attractive properties of FV methods are their numerical efficiency, local conservation and robustness which make them appealing solutions to treat flow problems of industrial interest.[5,6,7] one of the drawbacks of low-order cell-centred and vertex-centred FVs is the need for a reconstruction of the gradient. In this context, the quality of the reconstruction is directly linked to the quality of the mesh, leading to an important loss of accuracy, and even second-order convergence, in the presence of highly distorted or stretched cells.[8,9].

Problem statement and mixed formulation
Strong form of the local and global problems
Weak form of the local and global problems
FCFV discretisation
New basis functions for the second-order FCFV on general meshes
The second-order FCFV with nodal basis functions
New linear basis functions for the second-order FCFV method
Second-order FCFV discretisation of the Poisson equation
Second-order FCFV discretisation of the Stokes equations
Computational aspects
Method
An automatic mesh adaptivity strategy for the second-order FCFV
Numerical studies
Optimal convergence of the FCFV method
Influence of the stabilisation parameter
Influence of cell distortion and stretching
Computational cost
Applications of the automatic mesh adaptivity strategy
Two dimensional heat transfer problem with localised source
Three dimensional Stokes flow around complex microswimmers
Findings
Concluding remarks
Full Text
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