A fast nonlinear conjugate gradient based method for 3D concentrated frictional contact problems

J. Zhao, E.A.H. Vollebregt, C.W. Oosterlee

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This paper presents a fast numerical solver for a nonlinear constrained optimization problem, arising from 3D concentrated frictional shift and rolling contact problems with dry Coulomb friction. The solver combines an active set strategy with a nonlinear conjugate gradient method. One novelty is to consider the tractions of each slip element in a polar coordinate system, using azimuth angles as variables instead of conventional traction variables. The new variables are scaled by the diagonal of the underlying Jacobian. The fast Fourier transform (FFT) technique accelerates all matrix–vector products encountered, exploiting the matrix' Toeplitz structure. Numerical tests demonstrate a significant reduction of the computational time compared to existing solvers for concentrated contact problems.
Original languageEnglish
Pages (from-to)86-100
JournalJournal of Computational Physics
Volume288
DOIs
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Frictional contact problem
  • Azimuth angle variables
  • Active set strategy
  • Nonlinear conjugate gradient
  • Preconditioner
  • Fast
  • Fourier transform

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