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Modal model correlation techniques.

Avitabile, Peter.

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Modal model correlation techniques.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modal model correlation techniques./
Author:	Avitabile, Peter.
Description:	228 p.
Notes:	Source: Dissertation Abstracts International, Volume: 59-03, Section: B, page: 1320.
Contained By:	Dissertation Abstracts International59-03B.
Subject:	Engineering, Mechanical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9826709
ISBN:	0591790661

Modal model correlation techniques.
Avitabile, Peter.

Modal model correlation techniques. - 228 p.

Source: Dissertation Abstracts International, Volume: 59-03, Section: B, page: 1320.

Thesis (D.Eng.)--University of Massachusetts Lowell, 1998.

Correlation and correction of analytical models to better reflect the actual structural dynamic system using experimental modal analysis has become increasingly important in many engineering analyses for a wide variety of applications. Much work has been expended in the area of model reduction and model expansion to further this cause. Also, correlation tools have been developed to assist in the process. However, clear identification of where discrepancies exist is not always possible with existing tools.

ISBN: 0591790661Subjects--Topical Terms:

783786
Engineering, Mechanical.

Modal model correlation techniques.
LDR:01811nam 2200277 a 45 001 933099
005 20110505
008 110505s1998 eng d
020 $a 0591790661
035 $a (UnM)AAI9826709
035 $a AAI9826709
040 $a UnM $c UnM
100 1 $a Avitabile, Peter. $3 1256839
245 1 0 $a Modal model correlation techniques.
300 $a 228 p.
500 $a Source: Dissertation Abstracts International, Volume: 59-03, Section: B, page: 1320.
500 $a Supervisor: John C. O'Callahan.
502 $a Thesis (D.Eng.)--University of Massachusetts Lowell, 1998.
520 $a Correlation and correction of analytical models to better reflect the actual structural dynamic system using experimental modal analysis has become increasingly important in many engineering analyses for a wide variety of applications. Much work has been expended in the area of model reduction and model expansion to further this cause. Also, correlation tools have been developed to assist in the process. However, clear identification of where discrepancies exist is not always possible with existing tools.
520 $a The thrust of this work is to further define correlation tools that help more clearly identify where discrepancies exist between the analytical and experimental data bases. As part of the development, significant computational advantages are identified. In addition, some work is also presented to provide additional tools that assist in the evaluation of test measurement locations that may be critical to the success of the correlation process.
590 $a School code: 0111.
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0548
710 2 0 $a University of Massachusetts Lowell. $3 1017839
773 0 $t Dissertation Abstracts International $g 59-03B.
790 $a 0111
790 1 0 $a O'Callahan, John C., $e advisor
791 $a D.Eng.
792 $a 1998
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9826709