The identification of the load causing partial yielding on the basis of the dynamie characteristics

• Autorzy: Miller B. , Ziemiański L.
• Konferencja: Polish Conference on Computer Methods in Mechanics (16 ; 21-24.06.2005 ; Częstochowa, Poland
• Języki publikacji: EN

Abstrakty

EN

Possible yielding of the cross-section of a structure, which may arise as a result of external actions or the (micro)defects, might significantly decrease the safety margin of the considered structure [2]. Since the cross-section yielding affects the structure stiffness, the dynamie characteristics (eigenvalues and eigen-vectors) might be significantly different then the ones of the original structure. The measurement of the changes of the dynamie parameters may provide the information necessary to identify the load causing the yielding of the cross-section and further the yielding index (which may be calculated when the load causing the yielding is know) enables the evaluation of the structure safety margin. This paper presents the application of Artificial Neural Networks (ANN) [4, 9] in the identification of the load casing partial yielding of simply-supported beam and one- or two-column frames.

Słowa kluczowe

EN

finite element method; identification; dynamics; artificial neural networks

PL

metoda elementów skończonych; identyfikacja; dynamika; sztuczne sieci neuronowe

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2006
• Tom: Vol. 13, No. 4
• Strony: 627--631
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr.

Twórcy

autor

Miller B.

autor

Ziemiański L.

• Department of Structural Mechanics, Rzeszów University of Technology ul. W. Pola 2, PL-35-959 Rzeszów, Poland

Bibliografia

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• [5] B. Miller, G. Piątkowski, L. Ziemiański. Beam yielding load identification by neural networks. Comput. Assisted Mech. Engrg. Sci., 6(3-4): 449-467, 1999.
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• [10] T.O. Williams, I.J. Beyerlein. An overview of modeling damage evolution in materials. In: Damage Prognosis, John Wiley and Sons, 2005.