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Goal oriented error estimation and adaptive procedures are essential for the accurate and efficient evaluation of numerical simulations that involve complex domains. By locally improving the approximation quality we can solve expensive problems which

Externí odkaz: http://arxiv.org/abs/1308.1941

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Mesh adaptivity driven by goal-oriented locally equilibrated superconvergent patch recovery

Autor: Estrada, Octavio Andrés González, Nadal, E., Ródenas, J. J., Kerfriden, Pierre, Bordas, Stéphane Pierre-Alain, Fuenmayor, F. J.

During the last decade there has been an increase on the use of goal-oriented error estimates which help to quantify and control the local error on a quantity of interest (QoI) that might result relevant for design purposes (e.g. the mean stress or m

Externí odkaz: http://arxiv.org/abs/1209.3102

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Enhanced error estimator based on a nearly equilibrated moving least squares recovery technique for FEM and XFEM

Autor: Ródenas, J. J., Estrada, Octavio Andrés González, Fuenmayor, F. J., Chinesta, F.

In this paper a new technique aimed to obtain accurate estimates of the error in energy norm using a moving least squares (MLS) recovery-based procedure is presented. We explore the capabilities of a recovery technique based on an enhanced MLS fittin

Externí odkaz: http://arxiv.org/abs/1208.6381

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