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Comparison of Time-Domain Objective Functions in Dynamic Fixture Optimization

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Topics in Modal Analysis & Testing, Volume 9

Abstract

Differences in impedance are usually observed when components are tested in fixtures at lower levels of assembly from those in which they are fielded. In this work, the Kansas City National Security Campus (KCNSC) test bed hardware geometry is used to explore the sensitivity of the form of the objective function on the adequate reproduction of relevant response characteristics at the next level of assembly. Inverse methods within Sandia National Laboratories’ Sierra/SD code suite along with the Rapid Optimization Library (ROL) are used for identifying an unknown material (variable shear and bulk modulus) distributed across a predefined fixture volume. Comparisons of the results between time-domain based objective functions are presented. The development of the objective functions, solution sensitivity, and solution convergence will be discussed in the context of the practical considerations required for creating a realizable set of test hardware based on the variable-modulus optimized solutions.

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525.

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References

  1. Sierra Structural Dynamics User’s Notes. Sandia National Laboratories, SAND2017-9470, Unlimited Release, Albuquerque (2017)

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Correspondence to Michael J. Starr .

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© 2019 The Society for Experimental Mechanics, Inc.

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Starr, M.J., Walsh, T. (2019). Comparison of Time-Domain Objective Functions in Dynamic Fixture Optimization. In: Mains, M., Dilworth, B. (eds) Topics in Modal Analysis & Testing, Volume 9. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-74700-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-74700-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74699-9

  • Online ISBN: 978-3-319-74700-2

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