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Title |
Evaluation of Bearing Capacity on PHC Auger-Drilled Piles Using Artificial Neural Network
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Keywords |
PHC auger-drilled piles ; Artificial neural network ; Error back propagation algorithm ; PHC 매입말뚝 ; 인공신경망 ; 오류역전파 신경망 알고리즘 |
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Abstract |
In this study, artificial neural network is applied to the evaluation of bearing capacity of the PHC auger-drilled piles at sites of domestic decomposed granite soils. For the verification of applicability of error back propagation neural network, a total of 168 data of in-situ test results for PHC auger-drilled plies are used. The results show that the estimation of error back propagation neural network provide a good matching with pile test results by training and these results show the confidence of utilizing the neural networks for evaluation of the bearing capacity of piles.
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