The Experts below are selected from a list of 12018 Experts worldwide ranked by ideXlab platform

Lina Song - One of the best experts on this subject based on the ideXlab platform.

Simona Perotto - One of the best experts on this subject based on the ideXlab platform.

  • an anisotropic zienkiewicz zhu type Error Estimator for 3d applications
    International Journal for Numerical Methods in Engineering, 2011
    Co-Authors: Patrick E Farrell, Stefano Micheletti, Simona Perotto
    Abstract:

    We extend the anisotropic Zienkiewicz–Zhu a posteriori Error Estimator of (Proceedings of the ENUMATH-2009, Uppsala, Sweden, 29 June–3 July 2009) to three dimensions. Like the standard Zienkiewicz–Zhu Estimator, the proposed Estimator is designed to be independent of the problem at hand, is cheap to compute and easy to implement. In contrast to the standard Zienkiewicz–Zhu Estimator, the elementwise counterpart of the proposed Estimator explicitly takes into account the geometrical properties of the actual tetrahedron. Thus, in a wide variety of applications, the Estimator is able to detect the anisotropic features exhibited by the solution of the governing equations. A metric-based optimization procedure, rigorously addressed, drives the adaptation of the mesh. It is shown numerically to yield quasi-optimal triangulations, dictating the accuracy-vs-number of elements behaviour. Despite being heuristic to some extent, in practice the overall anisotropic adaptation procedure turns out to be effective. Copyright © 2010 John Wiley & Sons, Ltd.

  • a recovery based Error Estimator for anisotropic mesh adaptation in cfd
    SeMA Journal: Boletín de la Sociedad Española de Matemática Aplicada, 2010
    Co-Authors: Stefano Micheletti, Simona Perotto, Patrick E Farrell
    Abstract:

    We provide a unifying framework that generalizes the 2D and 3D settings proposed in [32] and [17], respectively. In these two works we propose a gradient recovery type a posteriori Error Estimator for finite element approximations on anisotropic meshes. The novelty is the inclusion of the geometrical features of the computational mesh (size, shape and orientation) in the Estimator itself. Moreover, we preserve the good properties of recovery based Error Estimators, in particular their computational cheapness and ease of implementation. A metric-based optimization procedure, relying on the Estimator, drives the anisotropic adaptation of the mesh. The focus of this work then moves to a goal-oriented framework. In particular, we extend the idea proposed in [32, 17] to the control of a goal functional. The preliminary results are promising, since it is shown numerically to yield quasi-optimal triangulations with respect to the Error-vs-number of elements behaviour.

  • anisotropic adaptation via a zienkiewicz zhu Error Estimator for 2d elliptic problems
    ENUMATH 2009 the 8th European Conference on Numerical Mathematics and Advanced Applications, 2010
    Co-Authors: Stefano Micheletti, Simona Perotto
    Abstract:

    We propose a Zienkiewicz–Zhu a posteriori Error Estimator in 2D, which shares the computational advantages typical of the original Estimator. The novelty is the inclusion of the geometrical features of the computational mesh, useful for an anisotropic mesh adaptation. The adapted triangulations are shown numerically to be quasi-optimal with respect to the Error-vs-number of elements behavior.

  • reliability and efficiency of an anisotropic zienkiewicz zhu Error Estimator
    Computer Methods in Applied Mechanics and Engineering, 2006
    Co-Authors: Stefano Micheletti, Simona Perotto
    Abstract:

    Abstract In this paper we study the efficiency and the reliability of an anisotropic a posteriori Error Estimator in the case of the Poisson problem supplied with mixed boundary conditions. The Error Estimator may be classified as a residual-based one, but its novelty is twofold: firstly, it employs anisotropic estimates of the interpolation Error for linear triangular finite elements and, secondly, it makes use of the Zienkiewicz–Zhu recovery procedure to approximate the gradient of the exact solution. Finally, we describe the adaptive procedure used to obtain a numerical solution satisfying a given accuracy, and we include some numerical test cases to assess the robustness of the proposed numerical algorithm.

Marco Picasso - One of the best experts on this subject based on the ideXlab platform.

  • an easily computable Error Estimator in space and time for the wave equation
    Mathematical Modelling and Numerical Analysis, 2019
    Co-Authors: Olga Gorynina, Alexei Lozinski, Marco Picasso
    Abstract:

    We propose a cheaper version of a posteriori Error Estimator from Gorynina et al. (Numer. Anal. (2017)) for the linear second-order wave equation discretized by the Newmark scheme in time and by the finite element method in space. The new Estimator preserves all the properties of the previous one (reliability, optimality on smooth solutions and quasi-uniform meshes) but no longer requires an extra computation of the Laplacian of the discrete solution on each time step.

  • an easily computable Error Estimator in space and time for the wave equation
    arXiv: Numerical Analysis, 2017
    Co-Authors: Olga Gorynina, Alexei Lozinski, Marco Picasso
    Abstract:

    We propose a cheaper version of \textit{a posteriori} Error Estimator from arXiv:1707.00057 for the linear second-order wave equation discretized by the Newmark scheme in time and by the finite element method in space. The new Estimator preserves all the properties of the previous one (reliability, optimality on smooth solutions and quasi-uniform meshes) but no longer requires an extra computation of the Laplacian of the discrete solution on each time step.

  • adaptive finite elements with large aspect ratio based on an anisotropic Error Estimator involving first order derivatives
    Computer Methods in Applied Mechanics and Engineering, 2006
    Co-Authors: Marco Picasso
    Abstract:

    An anisotropic Error Estimator involving only first order derivatives is proposed for the Laplace problem and continuous, piecewise linear finite elements. Upper and lower bounds are presented, the involved constants being independent of the mesh aspect ratio provided the Error gradient is equidistributed in the directions of maximum and minimum stretching. An anisotropic adaptive algorithm is then proposed, with aim to equidistribute the Error gradient in the directions of maximum and minimum stretching. Numerical results in two and three space dimensions show that the effectivity index is aspect ratio independent on such adapted meshes.

  • numerical study of the effectivity index for an anisotropic Error indicator based on zienkiewicz zhu Error Estimator
    Communications in Numerical Methods in Engineering, 2002
    Co-Authors: Marco Picasso
    Abstract:

    The framework of Formaggia and Perotto (Numerische Mathematik 2001; 89:641-667) is considered to derive a new anisotropic Error indicator for a Laplace problem in the energy norm. The matrix containing the Error gradient is approached using a Zienkiewicz-Zhu Error Estimator. A numerical study of the effectivity index is proposed for anisotropic unstructured meshes, showing that our indicator is sharp. An anisotropic adaptive algorithm is implemented, aiming at controlling the estimated relative Error. Copyright (C) 2003 John Wiley Sons, Ltd.

  • an anisotropic Error indicator based on zienkiewicz zhu Error Estimator application to elliptic and parabolic problems
    SIAM Journal on Scientific Computing, 2002
    Co-Authors: Marco Picasso
    Abstract:

    The anisotropic Error indicator presented in [M. Picasso, Comm. Numer. Methods Engrg., 19 (2003), pp. 13--23.] in the frame of the Laplace equation is extended to elliptic and parabolic problems. Our Error indicator is derived using the anisotropic interpolation estimates of [L. Formaggia and S. Perotto, Numer. Math., 89 (2001), pp. 641--667; L. Formaggia and S. Perotto, Numer. Math., (2002), DOI 10.1007/s002110200415], together with a Zienkiewicz--Zhu Error Estimator to approach the Error gradient. A numerical study of the effectivity index is proposed for elliptic, diffusion-convection, and parabolic problems. An adaptive algorithm is implemented, aimed at controlling the relative estimated Error.

Stefano Micheletti - One of the best experts on this subject based on the ideXlab platform.

  • an anisotropic zienkiewicz zhu type Error Estimator for 3d applications
    International Journal for Numerical Methods in Engineering, 2011
    Co-Authors: Patrick E Farrell, Stefano Micheletti, Simona Perotto
    Abstract:

    We extend the anisotropic Zienkiewicz–Zhu a posteriori Error Estimator of (Proceedings of the ENUMATH-2009, Uppsala, Sweden, 29 June–3 July 2009) to three dimensions. Like the standard Zienkiewicz–Zhu Estimator, the proposed Estimator is designed to be independent of the problem at hand, is cheap to compute and easy to implement. In contrast to the standard Zienkiewicz–Zhu Estimator, the elementwise counterpart of the proposed Estimator explicitly takes into account the geometrical properties of the actual tetrahedron. Thus, in a wide variety of applications, the Estimator is able to detect the anisotropic features exhibited by the solution of the governing equations. A metric-based optimization procedure, rigorously addressed, drives the adaptation of the mesh. It is shown numerically to yield quasi-optimal triangulations, dictating the accuracy-vs-number of elements behaviour. Despite being heuristic to some extent, in practice the overall anisotropic adaptation procedure turns out to be effective. Copyright © 2010 John Wiley & Sons, Ltd.

  • a recovery based Error Estimator for anisotropic mesh adaptation in cfd
    SeMA Journal: Boletín de la Sociedad Española de Matemática Aplicada, 2010
    Co-Authors: Stefano Micheletti, Simona Perotto, Patrick E Farrell
    Abstract:

    We provide a unifying framework that generalizes the 2D and 3D settings proposed in [32] and [17], respectively. In these two works we propose a gradient recovery type a posteriori Error Estimator for finite element approximations on anisotropic meshes. The novelty is the inclusion of the geometrical features of the computational mesh (size, shape and orientation) in the Estimator itself. Moreover, we preserve the good properties of recovery based Error Estimators, in particular their computational cheapness and ease of implementation. A metric-based optimization procedure, relying on the Estimator, drives the anisotropic adaptation of the mesh. The focus of this work then moves to a goal-oriented framework. In particular, we extend the idea proposed in [32, 17] to the control of a goal functional. The preliminary results are promising, since it is shown numerically to yield quasi-optimal triangulations with respect to the Error-vs-number of elements behaviour.

  • anisotropic adaptation via a zienkiewicz zhu Error Estimator for 2d elliptic problems
    ENUMATH 2009 the 8th European Conference on Numerical Mathematics and Advanced Applications, 2010
    Co-Authors: Stefano Micheletti, Simona Perotto
    Abstract:

    We propose a Zienkiewicz–Zhu a posteriori Error Estimator in 2D, which shares the computational advantages typical of the original Estimator. The novelty is the inclusion of the geometrical features of the computational mesh, useful for an anisotropic mesh adaptation. The adapted triangulations are shown numerically to be quasi-optimal with respect to the Error-vs-number of elements behavior.

  • reliability and efficiency of an anisotropic zienkiewicz zhu Error Estimator
    Computer Methods in Applied Mechanics and Engineering, 2006
    Co-Authors: Stefano Micheletti, Simona Perotto
    Abstract:

    Abstract In this paper we study the efficiency and the reliability of an anisotropic a posteriori Error Estimator in the case of the Poisson problem supplied with mixed boundary conditions. The Error Estimator may be classified as a residual-based one, but its novelty is twofold: firstly, it employs anisotropic estimates of the interpolation Error for linear triangular finite elements and, secondly, it makes use of the Zienkiewicz–Zhu recovery procedure to approximate the gradient of the exact solution. Finally, we describe the adaptive procedure used to obtain a numerical solution satisfying a given accuracy, and we include some numerical test cases to assess the robustness of the proposed numerical algorithm.

Zhimin Zhang - One of the best experts on this subject based on the ideXlab platform.