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Neural Networks in Updating of Dynamic Models with Experimental Verification

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Neural Networks and Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 19))

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Abstract

This paper presents the application of artificial neural networks in updating of dynamic models of engineering structures. There are presented examples of updating of two models: a model of a beam hung on two strings and a model of a portal frame. There are used multi-layer feed-forward networks and networks with radial basis function, the input vectors consist of preprocessed data obtained from the measurements done on a laboratory models of considered structures.

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References

  1. Friswell M.I., Mottershead J.E. (1996) Finite Element Model Updating in Structural Dynamics, Kluwer Academic Publishers, Dordrecht

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  2. Haykin S. (1999) Neural networks. A comprehensive foundation, Prentice Hall, Upper Saddle River, rd ed.

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  3. Waszczyszyn Z., Ziemianski L. (2001) Neural Networks in Mechanics of Structures and Materials — New Results and Prospects of Applications in Computers & Structures 79:2261–2276

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  4. Miller B., Ziemiaiíski L. (2001) Updating of Mathematical Models Using Neural Networks,Proceedings of 2nd European Conference on Computational Mechanics, vol I, 386–387, Krakow

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  5. Miller B., Ziemianski L. (2001) Updating of a Dynamic Model of an Aluminium Beam Using Neural Networks (in polish), Proceedings of V I School of Modal Analysis, Kraków

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  6. Miller B. (2002) Updating of Mathematical Models of Engineering Structures (in polish), PhD dissertation, Rzeszów University of Technology, Rzeszów

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Author information

Authors and Affiliations

  1. Rzeszów University of Technology, ul. W.Pola 2, 35-959, Rzeszów, Poland

    Bartosz Miller & Leonard Ziemiański

Authors
  1. Bartosz Miller
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  2. Leonard Ziemiański
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Technical University Częstochowa, Al. Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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© 2003 Springer-Verlag Berlin Heidelberg

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Miller, B., Ziemiański, L. (2003). Neural Networks in Updating of Dynamic Models with Experimental Verification. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_119

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  • DOI: https://doi.org/10.1007/978-3-7908-1902-1_119

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0005-0

  • Online ISBN: 978-3-7908-1902-1

  • eBook Packages: Springer Book Archive

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