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Nonlinear Finite Element Model Updating, Part II: Implementation and Simulation

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Dynamics of Coupled Structures, Volume 4

Abstract

Linear structural dynamic models are often used to support system design and qualification. Overall, linear models provide an efficient means for conducting design studies and augmenting test data by recovering un-instrumented or un-measurable quantities (e.g. stress). Nevertheless, the use of linear models often adds significant conservatism in design and qualification programs by failing to capture critical mechanisms for energy dissipation. Unfortunately, the use of explicit nonlinear models can require unacceptably large efforts in model development and experimental characterization to account for common nonlinearities such as frictional interfaces, macro-slip, and other complex material behavior. The computational requirements are also greater by orders of magnitude. Conversely, modal models are much more computationally efficient and experimentally have shown the ability to capture typical structural nonlinearity. Thus, this work will seek to use modal nonlinear identification techniques to improve the predictive capability of a finite element structural dynamics model.

Part I of this paper discussed experimental aspects of this work. Part II will consider use of nonlinear modal models in finite element modeling. First, the basic theory and numerical implementation is discussed. Next, the linear structural dynamic model of a configuration of interest is presented and model updating procedures are discussed. Finally, verification exercises are presented for a high level excitation using test data and simulated predictions from a structural dynamics model augmented with models obtained in nonlinear identification efforts.

Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy National Nuclear Security Administration under Contract DE-AC04-94AL85000.

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Abbreviations

M :

Physical mass matrix

K :

Physical stiffness matrix

C :

Physical damping matrix

f n :

Natural frequency in Hertz

f :

Frequency in Hertz

F(t) :

Physical force vector

Φ:

Mode shape matrix

ω :

Natural frequency in radians per second

ζ:

Modal damping ratio

q :

Modal displacement degree of freedom

\( \dot{q} \) :

Modal velocity degree of freedom

\( \ddot{q} \) :

Modal acceleration degree of freedom

t :

Time

f(t) :

Modal force vector

\( {f}_{nl}\left(q,\dot{q}\right) \) :

Nonlinear restoring force vector

x :

Physical displacement degree of freedom

\( \dot{x} \) :

Physical velocity degree of freedom

\( \ddot{x} \) :

Physical acceleration degree of freedom

σ :

Stress

Reference

  1. Pacini, B.R., Mayes, R.L., Owens, B.C., Schultz, R.A.: Nonlinear finite element model updating, Part I: experimental techniques and nonlinear modal model parameter extraction.. Presented at the 35th International Modal Analysis Conference, January 2017

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Acknowledgement

Notice: This manuscript has been authored by Sandia Corporation under Contract No. DE-AC04-94AL85000 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

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Correspondence to Brian C. Owens .

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© 2017 The Society for Experimental Mechanics, Inc.

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Owens, B.C., Schultz, R.A., Pacini, B.R., Mayes, R.L. (2017). Nonlinear Finite Element Model Updating, Part II: Implementation and Simulation. In: Allen, M., Mayes, R., Rixen, D. (eds) Dynamics of Coupled Structures, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-54930-9_25

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  • DOI: https://doi.org/10.1007/978-3-319-54930-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54929-3

  • Online ISBN: 978-3-319-54930-9

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