• buried pipes analysis in reinforced sand under repeated loading

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1387/01/01
    • تاریخ انتشار در تی پی بین: 1387/01/01
    • تعداد بازدید: 692
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     this study presents a feed forward back-propagation neural network model to estimate vertical deformation of high-density polyethylene (hdpe), small diameter flexible pipes buried in reinforced trenches and settlement of soil surface, which are subjected to repeated loadings to simulate the heavy vehicle loads. also, a genetic algorithm was used to optimize the model aimed to reach minimum vertical diametric strain of pipe (vds) by considering an allowable settlement of soil surface (sss) and the neural network model was used as a fitness function in the genetic algorithm process. the results show that predictions of the vertical diametric strain and settlement of soil surface using the trained neural network are in good agreement with experimental results. the link between genetic algorithm and neural network is observed to be as a powerful tool to optimize the model.

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