Improvement of a large analytical model using test data
Improvement of a large analytical model using test data
- New search for: Berman, A.
- New search for: Nagy, E.J.
- New search for: Berman, A.
- New search for: Nagy, E.J.
A method has been developed which uses measured normal modes and natural frequencies to improve an analytical mass and stiffness matrix model of a structure. The method directly identifies, without iteration, a set of minimum changes in the analytical matrices with force the eigenhsolutions to agree with the test measurments. An application is presented in which the analytical model had 508 degrees of freedom and 19 modes were measured at 101 locations on the structure. The resulting changes in the model are judged to be small compared to expectations of error in the analysis. Thus, the improved model is accepted as a reasonable model of the structure with improved dynamic response characteristics. In addition, it is shown that the procedure may be a useful tool in identifying apparent measured modes which are not true normal modes of the structure.
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Improvement of a large analytical model using test data
Die Verbesserung eines komplexen Analysemodells aufgrund von Versuchsergebnissen
AIAA Journal ; 21 , 8 ; 1168-1173
1983
6 Seiten, 1 Bild, 5 Tabellen, 21 Quellen
Article (Journal)
English
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