2011
DOI: 10.1007/978-3-642-20671-9_70
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Discrete Duality Finite Volume Method Applied to Linear Elasticity

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Cited by 3 publications
(3 citation statements)
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“…Teng et al [425] and Chen et al [426] developed a finite volume method to simulate the draping of woven fabrics, where the governing nonlinear equations were solved using a single-step full Newton-Raphson method. Martin and Pascal [431,434] proposed a novel discrete duality finite volume method for solving linear elasticity problems on unstructured meshes; the main characteristic of the discretisation is the integration of the governing equations over two meshes: the given primal mesh and also over a dual mesh built from the primal one. Pietro et al [432] proposed a novel discretisation scheme for linear elasticity with only one degree of freedom per control-volume face, corresponding to the normal component of the displacement.…”
Section: Other Approachesmentioning
confidence: 99%
“…Teng et al [425] and Chen et al [426] developed a finite volume method to simulate the draping of woven fabrics, where the governing nonlinear equations were solved using a single-step full Newton-Raphson method. Martin and Pascal [431,434] proposed a novel discrete duality finite volume method for solving linear elasticity problems on unstructured meshes; the main characteristic of the discretisation is the integration of the governing equations over two meshes: the given primal mesh and also over a dual mesh built from the primal one. Pietro et al [432] proposed a novel discretisation scheme for linear elasticity with only one degree of freedom per control-volume face, corresponding to the normal component of the displacement.…”
Section: Other Approachesmentioning
confidence: 99%
“…The mimetic finite difference methods [19,20,21] can also be applied to the elasticity problems in the nearly incompressible case as well as to Stokes problems in the incompressible case on general 3D meshes. Moreover, the 3D discrete duality finite volume method [22] has been constructed for linear elasticity problems. However, it is subtle to preserve the discrete duality property, which is used derive optimal estimates of the discrete error.…”
Section: Introductionmentioning
confidence: 99%
“…This includes also recent work on cellcentered methods [23,10]. When additional variables are introduced, convergence of finite volume methods has been established [20]. Similarly, convergence has recently been established for face-valued finite volume methods [19].…”
mentioning
confidence: 99%