2016
DOI: 10.1007/s00211-016-0797-y
|View full text |Cite
|
Sign up to set email alerts
|

Stabilized mixed hp-BEM for frictional contact problems in linear elasticity

Abstract: We investigate hp-stabilization for variational inequalities and boundary element methods based on the approach introduced by Barbosa and Hughes for finite elements. Convergence of a stabilized mixed boundary element method is shown for unilateral frictional contact problems for the Lamé equation. Without stabilization, the inf-sup constant need not be bounded away from zero for natural discretizations, even for fixed h and p. Both a priori and a posteriori error estimates are presented in the case of Tresca f… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

3
38
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
4
2

Relationship

2
4

Authors

Journals

citations
Cited by 15 publications
(41 citation statements)
references
References 28 publications
3
38
0
Order By: Relevance
“…However, its a priori error estimate is not yet fully clear due to the missing uniformity results on the discrete inf-sup condition. For the stabilized methods, which circumvents the discrete inf-sup condition, an a priori error estimate is proven in [13]. This stabilized method allows for an extremely flexible discretization of the Lagrange multiplier and seems to perform superior in terms of convergence rates for lowest order methods, uniform and adaptive h-versions.…”
Section: Resultsmentioning
confidence: 98%
See 4 more Smart Citations
“…However, its a priori error estimate is not yet fully clear due to the missing uniformity results on the discrete inf-sup condition. For the stabilized methods, which circumvents the discrete inf-sup condition, an a priori error estimate is proven in [13]. This stabilized method allows for an extremely flexible discretization of the Lagrange multiplier and seems to perform superior in terms of convergence rates for lowest order methods, uniform and adaptive h-versions.…”
Section: Resultsmentioning
confidence: 98%
“…affinely transformed Gauss-Lobatto points,T k is a boundary mesh of Γ C which may coincide with T h | Γ C , since we do not need a discrete inf-sup condition in the stabilized method, q is a polynomial degree distribution on that mesh and µ kq are linear combinations of Gauss-Lobatto-Lagrange (GLL) basis functions. Alternatively, one might use Bernstein polynomials (see [13]). Note that the ansatz functions in V hp can be written as linear combinations of GLL basis functions.…”
Section: Banz Ep Stephan / Journal Of Computational and Appliedmentioning
confidence: 99%
See 3 more Smart Citations