• bridge health monitoring using two stage neural networks

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 864
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     in this paper a method for damage identification in bridges employing neural networks is presented. in this work, in order to increase the speed and reduce the computational error for damage detection a new two stage method is introduced. in the first stage the damages are localized using a radial basis function neural network which has the benefit of high learning speed. in the second stage, the exact location and severity of damaged elements found using a well-trained back propagation neural network which possesses high powerful learning capacity. in order to evaluate the proposed method louisville truss bridge in united states of america is modeled by a finite element program and then changes in the responses is analyzed using matlab neural networks toolbox. numerical results demonstrate the efficiency of the proposed method for correct damage identification.

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