Goal-oriented error estimation and mesh adaptivity in three-dimentional elasticity problems

In finite element simulation of engineering applications, accuracy is of great importance considering that generally no analytical solution is available. Conventional error estimation methods aim to estimate the error in energy norms or the global L2-norm. These values can be used to estimate the accuracy of the model or to guide how to adapt the model to achieve more accuracy. However, in engineering applications specific quantities are required to be accurate. The novel error estimation approach which is called Dual-Weighted Residual (DWR) error estimation, approximates the error with respect to the quantity of interest which can be mean stress or displacement in a subspace or the solution (’s gradient) on a specific point, etc. DWR error estimation is a dual-based scheme which requires an adjoint (dual) problem. The dual problem is described by defining the quantity of interest in a functional form. Then by solving the primal and dual problems, errors in terms of the specified quantities are calculated. In this paper the DWR error estimation besides the conventional residual-based error estimation and a recovery-based error estimation are applied in a three-dimensional elasticity problem. Local estimated

[1]  T. Hughes,et al.  Isogeometric analysis : CAD, finite elements, NURBS, exact geometry and mesh refinement , 2005 .

[2]  T. Rabczuk,et al.  Error Estimate and Adaptive Refinement in Mixed Discrete Least Squares Meshless Method , 2014 .

[3]  Timon Rabczuk,et al.  Extended isogeometric analysis of plates with curved cracks , 2012 .

[4]  S. Shojaee,et al.  Enhancement of Isogeometric Analysis Method for Analyzing 2D Cracked Problems Using Extrinsic Enrichment Functions , 2012 .

[5]  Saeed-Reza Sabbagh-Yazdi,et al.  Orthotropic enriched element free Galerkin method for fracture analysis of composites , 2011 .

[6]  Endre Süli,et al.  Adaptive finite element methods for differential equations , 2003, Lectures in mathematics.

[7]  N. Valizadeh,et al.  Orthotropic Enriched Extended Isogeometric Analysis for Fracture Analysis of Composites , 2012 .

[8]  Mohammad Hadi Afshar,et al.  Mixed discrete least squares meshless method for planar elasticity problems using regular and irregular nodal distributions , 2012 .

[9]  Marc Duflot,et al.  Meshless methods: A review and computer implementation aspects , 2008, Math. Comput. Simul..

[10]  J. Z. Zhu,et al.  The superconvergent patch recovery and a posteriori error estimates. Part 2: Error estimates and adaptivity , 1992 .

[11]  Serge Prudhomme,et al.  On goal-oriented error estimation for elliptic problems: application to the control of pointwise errors , 1999 .

[12]  Timon Rabczuk,et al.  Transient analysis of laminated composite plates using isogeometric analysis , 2012 .

[13]  S. Ohnimus,et al.  Error-controlled adaptive goal-oriented modeling and finite element approximations in elasticity , 2007 .

[14]  Rolf Rannacher,et al.  A Feed-Back Approach to Error Control in Finite Element Methods: Basic Analysis and Examples , 1996 .

[15]  R. RannacherInstitut,et al.  Weighted a Posteriori Error Control in Fe Methods , 1995 .

[16]  J. Z. Zhu,et al.  The superconvergent patch recovery and a posteriori error estimates. Part 1: The recovery technique , 1992 .

[17]  O. C. Zienkiewicz,et al.  A simple error estimator and adaptive procedure for practical engineerng analysis , 1987 .

[18]  Ted Belytschko,et al.  Cracking particles: a simplified meshfree method for arbitrary evolving cracks , 2004 .

[19]  Timon Rabczuk,et al.  Extended isogeometric analysis for material interface problems , 2015 .

[20]  N. Valizadeh,et al.  Extended isogeometric analysis for simulation of stationary and propagating cracks , 2012 .

[21]  Long Chen FINITE ELEMENT METHOD , 2013 .

[22]  I. Babuska,et al.  A‐posteriori error estimates for the finite element method , 1978 .

[23]  W. Bangerth,et al.  deal.II—A general-purpose object-oriented finite element library , 2007, TOMS.

[24]  F. J. Fuenmayor,et al.  Mesh adaptivity driven by goal-oriented locally equilibrated superconvergent patch recovery , 2012, 1209.3102.

[25]  Ludovic Chamoin,et al.  Error estimation and model adaptation for a stochastic‐deterministic coupling method based on the Arlequin framework , 2013 .