Body Wise Time Integration Of Multi Body Dynamic Systems

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

Abstract

Several papers have been published in the past on the issue of decomposing a nonlinear system into subsystems for more efficient time integration. In this paper each body of a multi body system is considered as one subsystem. The subsystems (the bodies) are interacting via connection forces. The sources of such connection forces are constraints or directly applied forces. This contribution is restricted to constraint forces only. During a step which is named “body iteration”, those forces are considered as constant and the state of the system is computed for each body separately. This can be massively parallelized which can be an efficiency advantage in case of computational costly problems like the ones occurring in parameter estimation. During an “constraint update step” the constraints are evaluated based on the body’s current state. If the error is not small enough the interface forces are updated and the inner loop is executed once again until the error of the constraints is negligible. It turns out, that the constraints can be updated separately as well, which can be used again for parallel computing. In the paper, the theory will be outlined and implemented using an N body pendulum. Finally, the advantages and disadvantages of this approach are critically discussed.
Original languageEnglish
Title of host publicationExperimental and Applied Mechanics - Proceedings of the 2014 Annual Conference on Experimental and Applied Mechanics
EditorsNancy Sottos, Robert Rowlands, Kathryn Dannemann
PublisherSpringer
Pages55-61
Number of pages7
ISBN (Electronic)9783319069883
ISBN (Print)ISBN 978-3-319-15047-5
DOIs
Publication statusPublished - 2015

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
Volume6
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Keywords

  • Multi body dynamics
  • Multi body systems
  • Parallel computing
  • Time integration

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