2,823 research outputs found

    Stabilized mixed finite element methods for linear elasticity on simplicial grids in Rn\mathbb{R}^{n}

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    In this paper, we design two classes of stabilized mixed finite element methods for linear elasticity on simplicial grids. In the first class of elements, we use H(div,Ξ©;S)\boldsymbol{H}(\mathbf{div}, \Omega; \mathbb{S})-PkP_k and L2(Ξ©;Rn)\boldsymbol{L}^2(\Omega; \mathbb{R}^n)-Pkβˆ’1P_{k-1} to approximate the stress and displacement spaces, respectively, for 1≀k≀n1\leq k\leq n, and employ a stabilization technique in terms of the jump of the discrete displacement over the faces of the triangulation under consideration; in the second class of elements, we use H01(Ξ©;Rn)\boldsymbol{H}_0^1(\Omega; \mathbb{R}^n)-PkP_{k} to approximate the displacement space for 1≀k≀n1\leq k\leq n, and adopt the stabilization technique suggested by Brezzi, Fortin, and Marini. We establish the discrete inf-sup conditions, and consequently present the a priori error analysis for them. The main ingredient for the analysis is two special interpolation operators, which can be constructed using a crucial H(div)\boldsymbol{H}(\mathbf{div}) bubble function space of polynomials on each element. The feature of these methods is the low number of global degrees of freedom in the lowest order case. We present some numerical results to demonstrate the theoretical estimates.Comment: 16 pages, 1 figur

    A family of symmetric mixed finite elements for linear elasticity on tetrahedral grids

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    A family of stable mixed finite elements for the linear elasticity on tetrahedral grids are constructed, where the stress is approximated by symmetric H(\d)-PkP_k polynomial tensors and the displacement is approximated by Cβˆ’1C^{-1}-Pkβˆ’1P_{k-1} polynomial vectors, for all kβ‰₯4k\ge 4. Numerical tests are provided.Comment: 11. arXiv admin note: substantial text overlap with arXiv:1406.745

    Nonconforming tetrahedral mixed finite elements for elasticity

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    This paper presents a nonconforming finite element approximation of the space of symmetric tensors with square integrable divergence, on tetrahedral meshes. Used for stress approximation together with the full space of piecewise linear vector fields for displacement, this gives a stable mixed finite element method which is shown to be linearly convergent for both the stress and displacement, and which is significantly simpler than any stable conforming mixed finite element method. The method may be viewed as the three-dimensional analogue of a previously developed element in two dimensions. As in that case, a variant of the method is proposed as well, in which the displacement approximation is reduced to piecewise rigid motions and the stress space is reduced accordingly, but the linear convergence is retained.Comment: 13 pages, 2 figure

    Residual-Based A Posteriori Error Estimates for Symmetric Conforming Mixed Finite Elements for Linear Elasticity Problems

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    A posteriori error estimators for the symmetric mixed finite element methods for linear elasticity problems of Dirichlet and mixed boundary conditions are proposed. Stability and efficiency of the estimators are proved. Finally, we provide numerical examples to verify the theoretical results

    On the Virtual Element Method for Topology Optimization on polygonal meshes: a numerical study

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    It is well known that the solution of topology optimization problems may be affected both by the geometric properties of the computational mesh, which can steer the minimization process towards local (and non-physical) minima, and by the accuracy of the method employed to discretize the underlying differential problem, which may not be able to correctly capture the physics of the problem. In light of the above remarks, in this paper we consider polygonal meshes and employ the virtual element method (VEM) to solve two classes of paradigmatic topology optimization problems, one governed by nearly-incompressible and compressible linear elasticity and the other by Stokes equations. Several numerical results show the virtues of our polygonal VEM based approach with respect to more standard methods
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