Consolidation of Modal Parameters from Several Extraction Sets [electronic resource].
- Published
- Washington, D.C. : United States. Dept. of Energy, 2000.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy. - Physical Description
- 6 pages : digital, PDF file
- Additional Creators
- Sandia National Laboratories, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- Experienced experimentalists have gone through the process of attempting to identify a final set of modal parameters from several different sets of extracted parameters. Usually, this is done by visually examining the mode shapes. With the advent of automated modal parameter extraction algorithms such as SMAC (Synthesize Modes and Correlate), very accurate extractions can be made to high frequencies. However, this process may generate several hundred modes that then must be consolidated into a final set of modal information. This has motivated the authors to generate a set of tools to speed the process of consolidating modal parameters by mathematical (instead of visual) means. These tools help quickly identify the best modal parameter extraction associated with several extractions of the same mode. The tools also indicate how many different modes have been extracted in a nominal frequency range and from which references. The mathematics are presented to achieve the best modal extraction of multiple modes at the same nominal frequency. Improvements in the SMAC graphical user interface and database are discussed that speed and improve the entire extraction process.
- Report Numbers
- E 1.99:sand2000-2615c
sand2000-2615c - Subject(s)
- Other Subject(s)
- Note
- Published through SciTech Connect.
10/24/2000.
"sand2000-2615c"
International Modal Analysis Conference, Orlando, FL (US), 02/05/2001--02/08/2001.
MAYES,RANDALL L.; KLENKE,SCOTT E. - Funding Information
- AC04-94AL85000
View MARC record | catkey: 14347374