Czasopismo
2005
|
z. 65 [222]
|
19--24
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Konferencja
Dynamika Konstrukcji / Sympozjum (XII ; 28-30 września 2005 ; Rzeszów-Bystre, Polska)
Języki publikacji
Abstrakty
This paper presents the application of Artificial Neural Networks (ANN) in the identification of damage in simple engineering structures. The application of ANNs expands the nondestructive damage identification method using an additional parameter introduced to the structure. The input vector of the ANNs consists of the dynamic responses of a structure with additional mass. The output vector is composed of the position of damage and the extent of damage.
Rocznik
Tom
Strony
19--24
Opis fizyczny
Bibliogr. 8 poz., rys., wykr.
Twórcy
autor
- Politechnika Rzeszowska, Katedra Mechaniki Konstrukcji, aborowie@prz.edu.pl
autor
- Politechnika Rzeszowska, Katedra Mechaniki Konstrukcji, ziele@prz.edu.pl
Bibliografia
- [1] Deobeling S.W., Farrar C.R., Prime M.B., Sheritz D.W., "Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristic: a literature review", Los Alamos Natl. Lab, 1996.
- (2] Calwey P., Adams R.D., "The location of defects in structure from measurement of natural frequencies", Strain Anal. 1979.
- [3) Friswell M.I., Penny J.E.T., Garvey S.D., "Parameter subset selection in damage location", Kluwer Academic Press, 1997.
- [4] Dems K., Mórz Z., "Identification of damage in beam and plate structure using parameter dependent frequency changes", Engineering Computations 2001; 18:96-120.
- [5] Waszczyszyn Z., Ziemiański L., 2001, "Neural Networks in Mechanics of Structures and Materials New Results and Prospects of Applications", Computers&Structures, 79: 2261 2276.
- [6] Ziemiański L., Piątkowski G., "The detections and localizations of an attached mass in plates" Proceedings of third European Conference on Structural Control, Vienna. 2004.
- [7] ADINA System Online Manuals. Theory and modeling guide, ADINA R&D Inc., Watertown. 2001.
- [8] Neural Network Toolbox for Use with Matlab. User's Guide, Version 3.0. The Math-Works, lnc.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA9-0018-0002