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Error assessment and mesh adaptivity for regularized continuous failure models

Authors: Pannachet, T.; Díez, Pedro; Askes, Harm; Sluys, L. J.;

Error assessment and mesh adaptivity for regularized continuous failure models

Abstract

This paper deals with the adaptive finite element analysis of structural failure. A gradient-enhanced damage model has been chosen to simulate material degradation. Since this model is regularized in the post-peak regime, the finite element solution does not suffer from pathological mesh dependence and thus converges to an objective solution upon mesh refinement. However, the error analyses have shown that the error in the nonlocal equivalent strain field becomes dominant during the post-peak loading stages. The accuracy of the nonlocal equivalent strain field (and the corresponding damage quantity) also greatly influences the accuracy of the quantity of interest. Two error measures have been proposed. The goal-oriented error estimates have provided similar error distributions, although some small differences have been found in the softening regime. Objective error estimates, together with adaptive criteria, have been used to perform automated h-adaptivity during computation. Peer Reviewed

Keywords

Engineering, Civil, Quantity of interest, Gradient-enhanced damage model, Engineering, Multidisciplinary, Goal-oriented error estimation, Numerical methods and algorithms, Error estimation, Models, Engineering, Ocean, Engineering, Aerospace, Engineering, Biomedical, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics, Teoria dels, :Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics [Àrees temàtiques de la UPC], Models, Teoria dels, Classificació AMS::74 Mechanics of deformable solids::74S Numerical methods, Computer Science, Software Engineering, Engineering, Marine, Engineering, Manufacturing, Engineering, Mechanical, Engineering, Industrial, :74 Mechanics of deformable solids::74S Numerical methods [Classificació AMS]

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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