2021
DOI: 10.1007/s10092-021-00425-6
|View full text |Cite
|
Sign up to set email alerts
|

Error analysis of the compliance model for the Signorini problem

Abstract: The present paper is concerned with a class of penalized Signorini problems also called normal compliance models. These nonlinear models approximate the Signorini problem and are characterized both by a penalty parameter ε and by a "power parameter" α ≥ 1, where α = 1 corresponds to the standard penalization. We choose a continuous conforming linear finite element approximation in space dimensions d = 2, 3 to obtain an L 2 -error estimate of order h 2 when d = 2, α = 2, ε ≥ θh (θ large enough) and when the sol… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 26 publications
0
3
0
Order By: Relevance
“…8 shows the resulting beam deformation. Again, solving (NLP2) and (NLP3) for confirmation reproduces the solution of step (1).…”
Section: Asymmetric Manifoldmentioning
confidence: 64%
See 2 more Smart Citations
“…8 shows the resulting beam deformation. Again, solving (NLP2) and (NLP3) for confirmation reproduces the solution of step (1).…”
Section: Asymmetric Manifoldmentioning
confidence: 64%
“…Note also that every solution x k above must have zero objective value; otherwise it is a non-physical NLP solution because the constitutive equation is violated. We finally note that in the specific examples below we never obtain solutions of (MPCC) with (NLP2) or (NLP3): either the quick shot terminates successfully in step (0) or (1), or it remains unsuccessful.…”
Section: A Quick Shot Solution Approachmentioning
confidence: 99%
See 1 more Smart Citation