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International Journal for Numerical Methods in Engineering
Article . 2013 . Peer-reviewed
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Using Krylov subspace and spectral methods for solving complementarity problems in many‐body contact dynamics simulation

Using Krylov subspace and spectral methods for solving complementarity problems in many-body contact dynamics simulation
Authors: Toby Heyn; Mihai Anitescu; Dan Negrut; TASORA, Alessandro;

Using Krylov subspace and spectral methods for solving complementarity problems in many‐body contact dynamics simulation

Abstract

SUMMARYMany‐body dynamics problems are expected to handle millions of unknowns when, for instance, investigating the three‐dimensional flow of granular material. Unfortunately, the size of the problems tractable by existing numerical solution techniques is severely limited on convergence grounds. This is typically the case when the equations of motion embed a differential variational inequality problem that captures contact and possibly frictional interactions between rigid and/or flexible bodies. As the size of the physical system increases, the speed and/or the quality of the numerical solution decreases. This paper describes three methods – the gradient projected minimum residual method, the preconditioned spectral projected gradient with fallback method, and the modified proportioning with reduced gradient projection method – that demonstrate better scalability than the projected Jacobi and Gauss–Seidel methods commonly used to solve contact problems that draw on a differential‐variational‐inequality‐based modeling approach. Copyright © 2013 John Wiley & Sons, Ltd.

Keywords

Iterative numerical methods for linear systems, differential equations, Contact in solid mechanics, 510, 620, solids, Spectral and related methods applied to problems in solid mechanics, multibody dynamics, Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming), contact, Numerical methods for variational inequalities and related problems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
50
Top 10%
Top 10%
Top 10%
bronze