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Error estimation and adaptivity for nonlinear FE analysis

Error estimation and adaptivity for nonlinear FE analysis.
Authors: Huerta, Antonio; Rodríguez Ferran, Antonio; Díez, Pedro;

Error estimation and adaptivity for nonlinear FE analysis

Abstract

An adaptive strategy for nonlinear finite-element analysis, based on the combination of error estimation and h-remeshing, is presented. Its two main ingredients are a residual-type error estimator and an unstructured quadrilateral mesh generator. The error estimator is based on simple local computations over the elements and the so-called patches. In contrast to other residual estimators, no flux splitting is required. The adaptive strategy is illustrated by means of a complex nonlinear problem: the failure analysis of a single-edge notched beam. The quasi-brittle response of concrete is modelled by means of a nonlocal damage model.

Peer Reviewed

Countries
Spain, Poland
Keywords

single-edge notched beam, Finite element methods applied to problems in solid mechanics, Error bounds for boundary value problems involving PDEs, Anelastic fracture and damage, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits, nonlinearity, Mecànica de fractura -- Models matemàtics, adaptivity, damage models, quality of FE solutions, error estimation, finite elements, Rods (beams, columns, shafts, arches, rings, etc.), nonlocal damage model, Fracture mechanics--Mathematical models

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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