Identifying damping of a subsystem by two inverse-dynamics methods

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A strategy is presented to develop computationally efficient models for a class of structures containing nonlinearities. Those structures are ones for which the predominant nonlinearity is in the interfaces of linear subsystems. In those cases, one hopes to achieve low order models for the linear subsystems coupled with simplistic models for the interfaces. The theme of this paper is that of deducing the properties of the nonlinear interfaces by examining the properties of the full nonlinear structure in light of the known properties of the linear subsystems. Situations where such problems arise include those where the nonlinearity derive from sliding ... continued below

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15 p.

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Segalman, D. J.; Dohrmann, C. R. & Kearns, J. A. February 1996.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

A strategy is presented to develop computationally efficient models for a class of structures containing nonlinearities. Those structures are ones for which the predominant nonlinearity is in the interfaces of linear subsystems. In those cases, one hopes to achieve low order models for the linear subsystems coupled with simplistic models for the interfaces. The theme of this paper is that of deducing the properties of the nonlinear interfaces by examining the properties of the full nonlinear structure in light of the known properties of the linear subsystems. Situations where such problems arise include those where the nonlinearity derive from sliding friction or stick-slip friction. Those conditions can seriously compromise system performance if not addressed adequately, occasionally leading to either sloppy control or complete loss of stability. It is the problem of identifying those nonlinear subsystems that is addressed here.

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15 p.

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OSTI as DE96007329

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  • Society of Photo-Optical Instrumentation Engineers (SPIE) smart structures and materials conference, San Diego, CA (United States), 26-29 Feb 1996

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  • Other: DE96007329
  • Report No.: SAND--96-0254C
  • Report No.: CONF-960268--2
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 208372
  • Archival Resource Key: ark:/67531/metadc673053

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  • February 1996

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  • June 29, 2015, 9:42 p.m.

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  • April 14, 2016, 8:33 p.m.

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Segalman, D. J.; Dohrmann, C. R. & Kearns, J. A. Identifying damping of a subsystem by two inverse-dynamics methods, article, February 1996; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc673053/: accessed October 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.