4.7 Article

A scaled thickness conditioning for solid- and solid-shell discretizations of thin-walled structures

Journal

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Volume 200, Issue 9-12, Pages 1301-1310

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2010.11.001

Keywords

Solid shell; Structural dynamics; Thin structures; Iterative solvers; Preconditioning; Finite elements

Funding

  1. International Graduate School of Science and Engineering (IGSSE) of the Technische Universitat Munchen, Germany [2.11, 3.07]

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The numerical discretization of thin shell structures yields ill-conditioned stiffness matrices due to an inherent large eigenvalue spectrum. Finite element parametrization that depends on shell thickness, like relative displacement shells, solid shells and other solid finite elements even add to the ill-conditioning by introducing high eigenmodes. To overcome this numerical issue we present a scaled thickness conditioning (STC) approach, a mechanically motivated preconditioner for thin-walled structures discretized with continuum based element formulations. The proposed approach is motivated by the scaled director conditioning (SDC) method for relative displacement shell elements. In contrast to SDC, the novel STC approach yields a preconditioner for the effective linear system. It is applicable independently of element technology employed, coupling to other physical fields, boundary conditions applied and additional algebraic constraints and can be easily extended to multilayer shell formulations. The effect of the proposed preconditioner on the conditioning of the effective stiffness matrix and its eigenvalue spectrum is studied. It is shown that the condition number of the modified system becomes almost independent from the aspect ratio of the employed elements. The improved conditioning has a positive influence on the convergence behavior of iterative linear solvers. In particular, in combination with algebraic multigrid preconditioners the number of iterations could be decreased by more than 85% for some examples and the computation time could be reduced by about 60%. (C) 2010 Elsevier B.V. All rights reserved.

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