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Implementation of an Efficient RMS Algorithm for Random Analysis in Vibrata™

[+] Author Affiliations
Cory J. Rupp, Gregory W. Antal

ATA Engineering, Inc., Golden, CO

Paper No. DETC2012-71134, pp. 53-59; 7 pages
doi:10.1115/DETC2012-71134
From:
  • ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 6: 1st Biennial International Conference on Dynamics for Design; 14th International Conference on Advanced Vehicle Technologies
  • Chicago, Illinois, USA, August 12–15, 2012
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4505-9
  • Copyright © 2012 by ASME

abstract

When analyzing forced dynamic response to random excitation, obtaining root-mean-square (RMS) results without having to compute the underlying power spectral density (PSD) functions can significantly reduce solution time and memory usage. An algorithm for such calculations published by de la Fuente [1, 2] has been incorporated in ATA Engineering’s Vibrata™ program, a GUI- and text-file-driven modal dynamic analysis tool that works with Femap™ and MATLAB® to provide random, transient, harmonic, and response spectrum analysis. This paper describes some of the difficulties encountered in implementing this random response method and how they were overcome. It then shows two examples of the algorithm’s use in Vibrata and compares those computation times and solutions to standard PSD-based computations.

Copyright © 2012 by ASME
Topics: Algorithms

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