Neural network modeling of time-dependent creep deformations in masonry structures

Ahmed El-Shafie, T. Abdelazim, A. Noureldin

    Research output: Contribution to journalArticle

    23 Citations (Scopus)

    Abstract

    Stresses and deformations in concrete and masonry structures can be significantly altered by creep. Thus, neglecting creep could result in un-conservative design of new structures and/or underestimation of the level of its effect on stress redistribution in existing structures. Brickwork has substantial creep strain that is difficult to predict because of its dependence on many uncontrolled variables. Reliable and accurate prediction models for the long-term, time-dependent creep deformation of brickwork structures are needed. Artificial intelligence techniques are suitable for such applications. A model based on radial basis function neural networks (RBFNN) is proposed for predicting creep and is compared to a multi-layer perceptron neural network (MLPNN) model recently developed for the same purpose. Accurate prediction of creep was achieved due to the simple architecture and fast training procedure of RBFNN model especially when compared to MLPNN model. The RBFNN model shows good agreement with experimental creep data from brickwork assemblages collected over the last 15 years.

    Original languageEnglish
    Pages (from-to)583-594
    Number of pages12
    JournalNeural Computing and Applications
    Volume19
    Issue number4
    DOIs
    Publication statusPublished - Jun 2010

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    Creep
    Neural networks
    Multilayer neural networks
    Artificial intelligence
    Concretes

    Keywords

    • Creep
    • Masonry
    • Neural Networks
    • Time-dependent

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Software

    Cite this

    Neural network modeling of time-dependent creep deformations in masonry structures. / El-Shafie, Ahmed; Abdelazim, T.; Noureldin, A.

    In: Neural Computing and Applications, Vol. 19, No. 4, 06.2010, p. 583-594.

    Research output: Contribution to journalArticle

    El-Shafie, Ahmed ; Abdelazim, T. ; Noureldin, A. / Neural network modeling of time-dependent creep deformations in masonry structures. In: Neural Computing and Applications. 2010 ; Vol. 19, No. 4. pp. 583-594.
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