Multigrid for the dual formulation of the frictionless Signorini problem

Gabriele Rovi*, Bernhard Kober, Gerhard Starke, Rolf Krause

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We examine the dual formulation of the frictionless Signorini problem for a deformable body in contact with a rigid obstacle. We discretize the problem by means of the finite element method. Since the dual formulation solves directly for the stress variable and is not affected by locking, it is very attractive for many engineering applications. However, it is hard to solve it efficiently, since many challenges arise. First, the stress belongs to the non-Sobolev space (Formula presented.). Second, the matrix block related to the stress is only semi-positive definite in the incompressible limit. Third, global equality constraints and box-constraints are enforced. In this paper, we propose a novel and optimal nonlinear multigrid method for the dual formulation of the Signorini problem, that works even in the incompressible limit. We opt for the combination of a truncation of the basis functions strategy and a nonlinear monolithic patch smoother with Robin conditions of parameter (Formula presented.). Numerical experiments show that multigrid performance is recovered if (Formula presented.) is chosen properly. We propose an algorithm to dynamically update the parameter (Formula presented.) during the multigrid process, in order to provide a near optimal value of (Formula presented.).

Original languageEnglish (US)
Pages (from-to)2367-2388
Number of pages22
JournalInternational Journal for Numerical Methods in Engineering
Volume124
Issue number10
DOIs
StatePublished - May 30 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors. International Journal for Numerical Methods in Engineering published by John Wiley & Sons Ltd.

Keywords

  • dual Signorini problem
  • incompressibility
  • multigrid
  • nonlinear
  • Robin conditions

ASJC Scopus subject areas

  • Numerical Analysis
  • General Engineering
  • Applied Mathematics

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