Czasopismo
2006
|
Vol. 13, No. 4
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627-631
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Konferencja
Polish Conference on Computer Methods in Mechanics (16 ; 21-24.06.2005 ; Częstochowa, Poland
Języki publikacji
Abstrakty
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.
Rocznik
Tom
Strony
627-631
Opis fizyczny
Bibliogr. 10 poz., rys., wykr.
Twórcy
autor
autor
- Department of Structural Mechanics, Rzeszów University of Technology ul. W. Pola 2, PL-35-959 Rzeszów, Poland
Bibliografia
- [1] W.F. Chen, D.J. Han. Plasticity for Structural Engineers. Springer-Verlag, New York/Berlin/Heidelberg, 1988.
- [2] W.F. Chen, H. Zhang. Structural Plasticity: Theory, Problems and CAE Software. Springer-Verlag, New York/Berlin/Heidelberg, 1991.
- [3] D.J. Ewins. Modal Testing: Theory, Practice and Application. Research Studies Press LTD, Baldock/Hertfordshire, 2000.
- [4] S. Haykin. Neural Networks. A Comprehensiue Foundation. Prentice-Hall, Upper Saddle River, 2nd ed., 1999.
- [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.
- [6] M.M. Moran. Change of dynamie characteristics due to plastification. In: Computational Plasticity. Fundamentals and Applications, Pineridge Press-CIMNE, Swansea-Barcelona, 1967-1997, 1995.
- [7] G.E. Stavroulakis, G. Bolzon, Z. Waszczyszyn, L. Ziemiański. Inverse analysis, In: Comprehensive Structural Integrity, Vol. 3: Numerical and Computational Methods, pp. 685-718. Elsevier, 2003.
- [8] Z. Waszczyszyn, L. Ziemiański. Neural networks in mechanics of structures and materials - New results and prospects of applications. Comput. Struct., 79: 2261-2276, 2001.
- [9] Z. Waszczyszyn, L. Ziemiański. Neurocomputing in the analysis of selected inverse problems of mechanics of structures and materials. Comput. Assisted Mech. Engrg. Sci., 13: 125-159, 2006.
- [10] T.O. Williams, I.J. Beyerlein. An overview of modeling damage evolution in materials. In: Damage Prognosis, John Wiley and Sons, 2005.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB2-0025-0064