Asymmetric shell elements based on a corrected updated-Lagrangian approach

P. Areias, T. Rabczuk, D. Dias-Da-Costa

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Surprisingly good displacement results are obtained by using the Petrov-Galerkin method with assumed and enhanced metric components in the test functions and enhanced metric components in the trial functions. Cartesian trial functions are required to ensure completeness and assumed/enhanced metric components are introduced to ensure high coarse-mesh accuracy. In the trial functions, the original incompatible-mode in-plane Q6 element by Wilson et al. can be used without violating the patch test. As a beneficial side-effect, Newton-Raphson convergence behavior for non-linear problems is improved. Transverse-shear and in-plane patch tests are satisfied while distorted-mesh performance is better than with symmetric formulations due to the absence of coordinate transformation. Covariant coordinates are used to calculate the (mixed) test metric and a combination of Cartesian coordinates and quadratic terms in the metric are used for the trial functions. Classical test functions with assumed metric components are required for compatibility reasons. Verification tests are performed with very good performance being observed in all of them. Applications to large displacement elasticity and finite strain plasticity are shown with both low sensitivity to mesh distortion and high accuracy. A equilibrium-consistent (and consistently linearized) updated-Lagrangian algorithm is proposed and tested. Concerning the time-step dependency, it was found that the consistent updated-Lagrangian algorithm is nearly time-step independent and can replace the multiplicative plasticity approach if only moderate elastic strains are present.

Original languageEnglish
Pages (from-to)475-506
Number of pages32
JournalCMES - Computer Modeling in Engineering and Sciences
Volume88
Issue number6
Publication statusPublished - 2012

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications

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