1997
DOI: 10.1016/s0045-7825(97)00082-0
|View full text |Cite
|
Sign up to set email alerts
|

Coupled model- and solution-adaptivity in the finite-element method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
31
0

Year Published

2004
2004
2017
2017

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 57 publications
(31 citation statements)
references
References 13 publications
0
31
0
Order By: Relevance
“…Recently, Houston, Senior and Süli (2003) presented Sobolev regularity in order to control hp-adaptivity. Simple indicators for hp-adaptivity were given by Stein and Ohnimus (1997) according to the following rule: If the a posteriori error estimator considered is of the size of the associated a priori error estimator (with an uncertainty factor two to three), then p is increased while h remains unchanged. If the a posteriori error estimator is considerably smaller, then h is reduced while p remains unchanged.…”
Section: Finite Element Methods For Elasticity With Error-controlled mentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, Houston, Senior and Süli (2003) presented Sobolev regularity in order to control hp-adaptivity. Simple indicators for hp-adaptivity were given by Stein and Ohnimus (1997) according to the following rule: If the a posteriori error estimator considered is of the size of the associated a priori error estimator (with an uncertainty factor two to three), then p is increased while h remains unchanged. If the a posteriori error estimator is considerably smaller, then h is reduced while p remains unchanged.…”
Section: Finite Element Methods For Elasticity With Error-controlled mentioning
confidence: 99%
“…2. Regional model adaptivity in subdomains with boundary layers, especially of thin-walled plates and shells using global and regional error estimates see for example, Stein and Ohnimus (1997) and . 3.…”
Section: Introductionmentioning
confidence: 99%
“…for a wide-spanned steel bridge, are often initiated by local buckling, combined with inelastic deformations or by crack propagations due to high cycle fatigue. To analyse these processes and scenarios by the finite element method, adaptive hierarchical modelling and analysis is necessary, see Reference [2], e.g. first using an enhanced beam theory, e.g.…”
Section: The Gap Between Computable Error Bounds and The Requirementsmentioning
confidence: 99%
“…In [12] and [3] (see also [2]) the residual-type estimators were proposed and proved reliable and efficient under the assumptions that the right-hand side of the given equation is zero and the original domain is a plate with plane parallel faces. In [4] and [10] the implicit estimators based on the solution of local three-dimensional Neumann problems were developed for the hierarchical modelling of complex elastic plates. In [1] the estimator of Babuška and Schwab (see [2], [3]) was extended to take into account the discretization error stemming from the approximate solution of the reduced problem.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to the above mentioned papers, which deal with the hierarchical modelling of the problems in thin domains, we only consider the so-called zero-order method of dimension reduction that is, however, very popular owing to its simplicity and purely two-dimensional formulation. At the same time, this method forms a basis for the hierarchical modelling of three-dimensional plates (see, e.g., [11], [3], [10]). We advocate the functional-type a posteriori error estimation approach (see [5], [6], [7], [8]) that essentially differs from the approaches taken in the aforementioned articles; however, surprisingly enough, it is possible to show that Babuška and Schwab's estimator for the zero-order reduced problem can be obtained as a particular case of our estimator when the right-hand side of the equation is zero and the original domain is a plate with plane parallel faces.…”
Section: Introductionmentioning
confidence: 99%