Geometric Analysis and Nonlinear Partial Differential Equations 2003
DOI: 10.1007/978-3-642-55627-2_27
|View full text |Cite
|
Sign up to set email alerts
|

A Particle-Partition of Unity Method Part V: Boundary Conditions

Abstract: In this sequel to [12, 13, 14, 15] we focus on the implementation of Dirichlet boundary conditions in our partition of unity method. The treatment of essential boundary conditions with meshfree Galerkin methods is not an easy task due to the non-interpolatory character of the shape functions. Here, the use of an almost forgotten method due to Nitsche from the 1970's allows us to overcome these problems at virtually no extra computational costs. The method is applicable to general point distributions and leads… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
100
0

Year Published

2006
2006
2023
2023

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 92 publications
(110 citation statements)
references
References 28 publications
2
100
0
Order By: Relevance
“…The use of Nitsche's technique in the imposition of interpatch-continuity also represents a common and well explored alternative [5,44,[47][48][49][50][51][52]. While such option is clearly superior to the use of simpler approaches, it is less efficient in implementation and computational costs, in the sense that it requires modifying the variational form as well as evaluating boundary integrals at the boundaries of interest.…”
Section: Analysis-related Enhancement Of Geometrical Datamentioning
confidence: 99%
“…The use of Nitsche's technique in the imposition of interpatch-continuity also represents a common and well explored alternative [5,44,[47][48][49][50][51][52]. While such option is clearly superior to the use of simpler approaches, it is less efficient in implementation and computational costs, in the sense that it requires modifying the variational form as well as evaluating boundary integrals at the boundaries of interest.…”
Section: Analysis-related Enhancement Of Geometrical Datamentioning
confidence: 99%
“…In fact, the last term in (24) is required to ensure coercivity of the bilinear form a(·, ·) provided that β is large enough. The parameter β must be larger than a minimum value that can be assessed as γ/ℓ, where ℓ is a characteristic size of the discretization (say H or h for the discretizations mentioned here), and γ is a constant that can be obtained as the maximum eigenvalue of some eigenvalue problem [31]. In practice that means that β must increase when the discretization gets finer.…”
Section: Dirichlet Boundary Conditionsmentioning
confidence: 99%
“…are derived taking into account equation (31). The same behavior is assumed to hold in the new discretization…”
Section: Adaptive Strategymentioning
confidence: 99%
“…Symmetric variants of Nitsche methods are accurate and robust, but their performance crucially depends on appropriate estimates of the stabilization parameters involved [40,44,45]. If estimates are too large, the method degrades to a penalty method, which adversely influences consistency, accuracy and robustness.…”
Section: Introductionmentioning
confidence: 99%