General regression neural network (GRNN) for the first crack analysis prediction of strengthened RC one-way slab by CFRP

S. V. Razavi, M. Z. Jumaat, Ahmed H. Ei-Shafie, Pegah Mohammadi

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    In this study, six strengthened RC one-way slabs with different lengths and thicknesses of CFRP were tested and compared with a similar RC slab without CFRP. The dimensions of the slabs were1800 x 400 x 120 mm and the lengths of CFRP used were 700, 1100, and 1500 mm, with different thicknesses of 1.2 and 1.8 mm. The results of the experimental operation for the first crack were used to generate general regression neural networks (GRNNs). Concerning the limited data for training and testing, the different data were extracted seven times for use as training and testing data. In this case, the optimum run was evaluated and compared with the experimental results. The results indicate that the amount of MSE and RMSE was acceptable and the correlation coefficient was close to 1.

    Original languageEnglish
    Pages (from-to)2439-2446
    Number of pages8
    JournalInternational Journal of Physical Sciences
    Volume6
    Issue number10
    Publication statusPublished - 18 May 2011

    Fingerprint

    carbon fiber reinforced plastics
    Carbon fiber reinforced plastics
    regression analysis
    slabs
    cracks
    Cracks
    Neural networks
    education
    predictions
    Testing
    correlation coefficients
    carbon fiber reinforced plastic

    Keywords

    • CFRP
    • GRNN (general regression neural network)
    • MSE
    • RMSE

    ASJC Scopus subject areas

    • Physics and Astronomy(all)
    • Electronic, Optical and Magnetic Materials

    Cite this

    General regression neural network (GRNN) for the first crack analysis prediction of strengthened RC one-way slab by CFRP. / Razavi, S. V.; Jumaat, M. Z.; Ei-Shafie, Ahmed H.; Mohammadi, Pegah.

    In: International Journal of Physical Sciences, Vol. 6, No. 10, 18.05.2011, p. 2439-2446.

    Research output: Contribution to journalArticle

    Razavi, S. V. ; Jumaat, M. Z. ; Ei-Shafie, Ahmed H. ; Mohammadi, Pegah. / General regression neural network (GRNN) for the first crack analysis prediction of strengthened RC one-way slab by CFRP. In: International Journal of Physical Sciences. 2011 ; Vol. 6, No. 10. pp. 2439-2446.
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