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Neural Analysis of Concrete Fatigue Durability by the Neuro-Fuzzy FWNN

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Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

Two problems related to the concrete fatigue durability analysis, originated in papers [2,3] and based on the data banks taken from [1], are developed. The first problem deals with the neural simulation of the durability of concrete, defined as a number of cycles of compressive stresses N. The second problem corresponds to the identification of concrete strength associated with N. In the paper a neuro-fuzzy network FWNN (Fuzzy Weight NN), formulated in [4], was used to obtain better results than approximations by the standard (crisp) Back-Propagation NNs.

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References

  1. Furtak, K.: Strength of concrete subjected to multiple repeated loadings. Arch. of Civ. Eng. 30, 677–698 (1984) (in Polish)

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  2. Kaliszuk, J., Urbańska, A., Waszczyszyn, Z.: Neural analysis of concrete fatigue durability on the basis of experimental evidence. Arch. of Civ. Eng. 47, 327–339 (2001)

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  3. Jakubek, M., Urbańska, A., Waszczyszyn, Z.: Application of FWNN to the analysis of experimental mechanics problems. In: Numerical Methods in Continuum Mechanics - Proceedings of the 9th Conference NMCM2003, Žilina, Slovak Republic, September 9-12, p. 12 (2003) (CD-ROM)

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  4. Pabisek, E., Jakubek, M., Waszczyszyn, Z.: A fuzzy network for the analysis of experimental structural engineering problems. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing, pp. 772–777. Physica-Verlag, Springer (2003)

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  5. Neural network toolbox for use with MATLAB. User’s Guide. Version 3. The Math Works, Inc. Natick, MA (1998)

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Author information

Authors and Affiliations

  1. Institute of Computer Methods in Civil Engineering, Cracow University of Technology, ul. Warszawska 24, 31-155, Kraków, Poland

    Magdalena Jakubek & Zenon Waszczyszyn

Authors
  1. Magdalena Jakubek
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  2. Zenon Waszczyszyn
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Jakubek, M., Waszczyszyn, Z. (2004). Neural Analysis of Concrete Fatigue Durability by the Neuro-Fuzzy FWNN. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_168

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_168

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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