Application of neurocomputing in the parametric identification using dynamic responses of structural elements - selected problems

• Autorzy: Ziemiański L. , Miller B. , Piątkowski G.

Warianty tytułu

PL

Identyfikacja parametrów konstrukcji na podstawie dynamicznych odpowiedzi z wykorzystaniem sieci neuronowych - wybrane zagadnienia

• Języki publikacji: EN

Abstrakty

EN

Some problems of neurocomputing in the dynamics of structures are presented: 1) damage detection using wave propagation, 2) updating of portal frames finite element models, 3) detection of the void and additional mass in cantilever plates, 4) neural network modelling of an "artificial boundary condition". The analysed problems are related to both data prepared by computational systems and that taken from experimental evidence.

PL

W artykule przedstawiono zastosowanie sieci neuronowych w wybranych zagadnieniach dynamiki konstrukcji: 1) wykrywanie uszkodzeń w elementach prętowych na podstawie propagacji fali, 2) dostrajanie modeli MES ram portalowych, 3) wykrywanie pustki i dodatkowej masy w drgającej płycie wspornikowej, 4) modelowanie "sztucznej granicy" w zagadnieniu propagacji fali. Rozpatrywane problemy dotyczą zarówno modeli numerycznych, jak i eksperymentalnych.

Słowa kluczowe

EN

neural networks dynamics; identification

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2004
• Tom: Vol. 42 nr 3
• Strony: 667--693
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Ziemiański L.

• Department of Structural Mechanics, Rzeszów University of Technology

autor

Miller B.

• Department of Structural Mechanics, Rzeszów University of Technology

autor

Piątkowski G.

• Department of Structural Mechanics, Rzeszów University of Technology

Bibliografia

• 1. ADINA System Online Manuals, Theory and modeling guide, 2001, ADINA R&D Inc., Watertown
• 2. Friswell M.I., Mottershead J.E., 1996, Finite Element Model Updating in Structural Dynamics, Kluwer Academic Publishers, Dordrecht
• 3. Ghaboussi J., Lin C-C.J., 1998, New method generating spectrum compatible accelerograms using neural networks, Earthquake Engineering and Structural Dynamics, 27, 377-396
• 4. Givoli D., 1992, Numerical Methods for Problems in Infinite Domains, Elsevier, Amsterdam
• 5. Haykin S., 1999, Neural Networks, a Comprehensive Foundation, second ed., Prentice Hall, Upper Saddle River
• 6. Miller B., 2002, Updating of Mathematical Models of Engineering Structures (in polish), PhD dissertation, Rzeszów University of Technology
• 7. Miller B., Ziemiański L., 2001, Updating of mathematical models using neural networks, Proc. 2nd European Conference on Computational Mechanics, Kraków, I, 386-387
• 8. Miller B., Ziemiański L., 2003, Neural Networks in Updating of Dynamic Models with Experimental Verification, In: L. Rutkowski, J. Kacprzyk, eds., Advances in Soft Computing, Physica-Verlag a Springer-Verlag Company
• 9. Piątkowski G., 2003, Detection of Damage in Structural Elements Using Artificial Neural Network (in polish), PhD dissertation, Rzeszów University of Technology
• 10. Piątkowski G., Ziemiański L., 2002, Identification of Circular Hole in Rectangular Plate Using Neural Networks, Proceedings of AI-Meth Symposium on Methods of Artificial Intelligence, 329-332
• 11. Piątkowski G., Ziemiański L., 2003, Neural network identification of a circular hole in the rectangular plate, In: L. Rutkowski, J. Kacprzyk, eds., Advances in Soft Computing, Physica-Verlag a Springer-Verlag Company
• 12. Thompson R.B., 1983, Quantitative ultrasonic nondestructive evaluation methods, Journal of Applied Mechanics, 1191-1201
• 13. Waszczyszyn Z., edit., 1999, Neural Networks in the Analysis and Design of Structures, CISM Courses and Lectures No. 404, Springer, Wien-New York
• 14. Waszczyszyn Z., Ziemiański L., 2001, Neural networks in mechanics of structures and materials – new results and prospects of applications, Computers and Structures, 79, 2261-2276
• 15. Waszczyszyn Z., Ziemiański L., 2004, Neural networks in the identification analysis of structural mechanics problems, In: Z. Mroz, G.E. Stavroulakis, eds., Parameter Identification of Materials and Structures, CISM Lecture Notes Vol. 469, Springer, Wien-New York (in print)
• 16. Wolf J.P., Song C., 1996, Finite-Element Modelling of Unbounded Media, John Wiley & Sons, Chichester
• 17. Yagawa G., Okuda H., 1996, Neural networks in computational mechanics, Archives of Computational Methods in Engineering, (3-4), 435-512
• 18. Ziemiański L., 2003, Hybrid neural network/finite element modelling of wave propagation in infinite domains, Computers and Structures, 81, 1099-1109
• 19. Ziemiański L., Piątkowski G., 2000, Use of neural networks for damage detection in structural elements using wave propagation, In: B.H.V. Topping, editor, Computational Engineering Using Metaphors from Nature, 25-30, Edinburgh, Civil-Comp Ltd.