Master-slave elimination scheme for arbitrary smooth nonlinear multi-point constraints

dc.date.accessioned2024-11-22T13:16:20Z
dc.date.issued2024-05-25
dc.description.sponsorshipGefördert im Rahmen des Projekts DEAL
dc.identifierdoi:10.17170/kobra-2024112210707
dc.identifier.doidoi:10.1007/s00466-024-02463-7
dc.identifier.urihttps://kobra.uni-kassel.de/handle/123456789/201810225678
dc.language.isoeng
dc.publisherUniversität Kassel
dc.publisher.placeKassel
dc.relation.doidoi:10.1007/s00466-024-02463-7
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNonlinear multi-point constraintseng
dc.subjectMaster-slave eliminationeng
dc.subjectPenalty methodeng
dc.subjectLagrange multipliereng
dc.subjectBenchmark exampleseng
dc.subject.ddc620
dc.subject.swdPenalty-Methodeger
dc.subject.swdLagrange-Multiplikatorger
dc.subject.swdBenchmarkger
dc.titleMaster-slave elimination scheme for arbitrary smooth nonlinear multi-point constraints
dc.typeAufsatz
dc.type.versionpublishedVersion
dcterms.abstractNonlinear multi-point constraints are essential in modeling various engineering problems, for example in the context of (a) linking individual degrees of freedom of multiple nodes to model nonlinear joints, (b) coupling different element types in finite element analysis, (c) enforcing various types of rigidity in parts of the mesh and (d) considering deformation-dependent Dirichlet boundary conditions. One method for addressing constraints is the master–slave elimination, which offers the benefit of reducing the problem dimension as opposed to Lagrange multipliers and the penalty method. However, the existingmaster-slave elimination method is limited to linear constraints. In this paper, we introduce a new master–slave elimination method for handling arbitrary smooth nonlinear multi-point constraints in the system of equations of the discretized system. We present a rigorous mathematical derivation of the method. Within this method, new constraints can be easily considered as an item of a “constraint library”; i.e. no case-by-case-programming is required. In addition to the theoretical aspects, we also provide helpful remarks on the efficient implementation. Among others, we show that the new method results in a reduced computational complexity compared to the existing methods. The study also places emphasis on comparing the new approach with existing methods via numerical examples. We have developed innovative benchmarks which encompass all relevant computational properties, and provide analytical and reference solutions. Our findings demonstrate that our new method is as accurate, robust and flexible as the Lagrange multipliers, and more efficient due to the reduction of the total number of degrees of freedom, which is particularly advantageous when a large number of constraints have to be considered.eng
dcterms.accessRightsopen access
dcterms.creatorBoungard, Jonas
dcterms.creatorWackerfuß, Jens
dcterms.source.identifiereissn:1432-0924
dcterms.source.issueIssue 5
dcterms.source.journalComputational Mechanics
dcterms.source.pageinfo955-992
dcterms.source.volumeVolume 74

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
s00466_024_02463_7_1.pdf
Size:
2.34 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.25 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections