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An Efficient, Hybrid, Frequency-Time Domain Method for The Dynamics of Large-Scale Dry-Friction Damped Structural Systems.

  • J. Guillen
  • C. Pierre
Part of the Solid Mechanics and its Applications book series (SMIA, volume 72)

Abstract

The steady-state response to periodic excitation of multi-degree of freedom (DOF) structural systems with several elastic/perfectly plastic attached dry friction dampers is studied. The force transmitted by a friction damper is deduced in the time domain from the displacement and velocity of the corresponding DOF to which the friction damper is attached. The convergence of the method is ensured by a modified Broyden’s algorithm, which is used to solve iteratively the set of multi-harmonic nonlinear equations in the frequency domain. The solution algorithm is thus hybrid in the frequency and time domains. The method can handle both friction dampers that are attached to ground and the general case of dampers that connect two DOF’s of the structure. Results are obtained for both tuned and mistuned configurations of large-scale models of dry-friction damped bladed disks used in turbomachinery applications, subject to various traveling wave “engine order” excitations, for a variety of structural and friction parameters. Interesting, complex features of the nonlinear response are revealed, such as: motions for several stick-slip phases per period; localized motions for mistuned systems, which feature mostly sticking motion at most blades and mostly slipping motion at a few blades; subresonances; effects of higher harmonics.

Keywords

Harmonic Balance Harmonic Balance Method Friction Damper Coupling Stiffness Bladed Disk 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • J. Guillen
    • 1
  • C. Pierre
    • 1
  1. 1.Department of Mechanical Engineering and Applied MechanicsThe University of MichiganAnn ArborUSA

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