2010
DOI: 10.1002/nme.2957
|View full text |Cite
|
Sign up to set email alerts
|

Calculation of strict error bounds for finite element approximations of non‐linear pointwise quantities of interest

Abstract: SUMMARYThis paper deals with the verification of simulations performed using the finite element method. More specifically, it addresses the calculation of strict bounds on the discretization errors affecting pointwise outputs of interest which may be non-linear with respect to the displacement field. The method is based on classical tools, such as the constitutive relation error and extraction techniques associated with the solution of an adjoint problem. However, it uses two specific and innovative techniques… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
40
0

Year Published

2012
2012
2016
2016

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 36 publications
(40 citation statements)
references
References 36 publications
0
40
0
Order By: Relevance
“…Since the mid 2000s, attention has been devoted to provide certified bounds for quantities of interest [2,3,4,5,6,7,8,9]. In particular [1] presents a comparison of the performance of two of the main techniques to compute guaranteed bounds for quantities of interest in the context of the advection-reaction-diffusion equation: a standard residual type estimator (hybrid-flux) proposed in [10] and the new flux-free technique proposed in [11].…”
Section: Introductionmentioning
confidence: 99%
“…Since the mid 2000s, attention has been devoted to provide certified bounds for quantities of interest [2,3,4,5,6,7,8,9]. In particular [1] presents a comparison of the performance of two of the main techniques to compute guaranteed bounds for quantities of interest in the context of the advection-reaction-diffusion equation: a standard residual type estimator (hybrid-flux) proposed in [10] and the new flux-free technique proposed in [11].…”
Section: Introductionmentioning
confidence: 99%
“…upon inserting (13) and (40). Therefore, letting v D p 2 P m .K/ in (42) allows us to see that (13) and (40) imply (13) and (14) because (39) holds.…”
Section: Proof Of Theoremmentioning
confidence: 98%
“…In Fig. 5, we represent the PGD approximation of ρ 11 1 for different configurations of parameters x 3 and y 3 . The computation of this PGD solution is done once for all, in an offline phase and stored for later use.…”
Section: Details On the Pgd Solutionmentioning
confidence: 99%
“…The CRE concept was first introduced as a robust a posteriori error estimator in FE computations [5], enabling to compute both strict and effective discretization error bounds for linear and more generally convex structural mechanics problems, and to lead mesh adaptivity processes. It was primarily used for linear thermal and elasticity problems [6,7] before being extended to nonlinear time dependent problems [8,9] and to goal-oriented error estimation [10][11][12]. The use of CRE for model verification, for which a general overview can be found in [2], requires in particular the computation of admissible dual fields which are fully equilibrated.…”
Section: Introductionmentioning
confidence: 99%