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Title: The SMAC Modal Extraction Algorithm for Advanced Users.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1369351
Report Number(s):
SAND2016-6388PE
643812
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Structural Dynamics Lunchtime Series held July 6, 2016 in Albuquerque, NM.
Country of Publication:
United States
Language:
English

Citation Formats

Mayes, Randall L. The SMAC Modal Extraction Algorithm for Advanced Users.. United States: N. p., 2016. Web.
Mayes, Randall L. The SMAC Modal Extraction Algorithm for Advanced Users.. United States.
Mayes, Randall L. 2016. "The SMAC Modal Extraction Algorithm for Advanced Users.". United States. doi:. https://www.osti.gov/servlets/purl/1369351.
@article{osti_1369351,
title = {The SMAC Modal Extraction Algorithm for Advanced Users.},
author = {Mayes, Randall L.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7
}

Conference:
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  • Abstract not provided.
  • After the basic theory for SMAC is presented below, two applications of the algorithm with real hardware will be presented. The first moderate-damping application is a system with approximately 50 modes in the bandwidth with up to 5 percent damping. The second application has at least 70 modes in the bandwidth, but damping is always below 3 percent. In addition to the improved implementation of the SMAC root finder, coding has been written to extract the mode shapes based on quadrature fit, and this is described herein.
  • An algorithm known as SMAC (Synthesize Modes And Correlate), based on principles of modal filtering, has been in development for a few years. The new capabilities of the automated version are demonstrated on test data from a complex shell/payload system. Examples of extractions from impact and shaker data are shown. The automated algorithm extracts 30 to 50 modes in the bandwidth from each column of the frequency response function matrix. Examples of the synthesized Mode Indicator Functions (MIFs) compared with the actual MIFs show the accuracy of the technique. A data set for one input and 170 accelerometer outputs canmore » typically be reduced in an hour. Application to a test with some complex modes is also demonstrated.« less
  • 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, themore » 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.« less
  • No abstract prepared.