Automation and Other Extensions of the SMAC Modal Parameter Extraction Package

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Description

As model validation techniques gain more acceptance and increase in power, the demands on the modal parameter extractions increase. The estimation accuracy, the number of modes desired, and the data reduction efficiency are required features. An algorithm known as SMAC (Synthesize Modes And Correlate), based on principles of modal filtering, has been in development for a few years. SMAC has now been extended in two main areas. First, it has now been automated. Second, it has been extended to fit complex modes as well as real modes. These extensions have enhanced the power of modal extraction so that, typically, the ... continued below

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7 p.

Creation Information

KLENKE,SCOTT E. & MAYES,RANDALL L. November 1, 1999.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA
    Place of Publication: Albuquerque, New Mexico

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Description

As model validation techniques gain more acceptance and increase in power, the demands on the modal parameter extractions increase. The estimation accuracy, the number of modes desired, and the data reduction efficiency are required features. An algorithm known as SMAC (Synthesize Modes And Correlate), based on principles of modal filtering, has been in development for a few years. SMAC has now been extended in two main areas. First, it has now been automated. Second, it has been extended to fit complex modes as well as real modes. These extensions have enhanced the power of modal extraction so that, typically, the analyst needs to manually fit only 10 percent of the modes in the desired bandwidth, whereas the automated routines will fit 90 percent of the modes. SMAC could be successfully automated because it generally does not produce computational roots.

Physical Description

7 p.

Notes

OSTI as DE00015021

Medium: P; Size: 7 pages

Source

  • International Modal Analysis Conference (IMAC), San Antonio, TX (US), 02/07/2000--02/10/2000

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  • Report No.: SAND99-2889C
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 15021
  • Archival Resource Key: ark:/67531/metadc618272

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  • November 1, 1999

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • April 11, 2017, 3:08 p.m.

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KLENKE,SCOTT E. & MAYES,RANDALL L. Automation and Other Extensions of the SMAC Modal Parameter Extraction Package, article, November 1, 1999; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc618272/: accessed September 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.