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Estimation of Pile Bearing Capacity of Single Driven Pile in Sandy Soil Using Finite Element and Artificial Neural Network Methods



   Volume 2, Issue 2
HARNEDI MAIZIR, RENISURYANITA, HENDRAJINGGA

Published online: 27 July 2016
Article Views: 31

Abstract

The good estimation of pile bearing capacity, derived by total axial pile bearing capacity, can be obtained through numerous empirical, analytical, and field tests. Thus, the application of the methods has been a difficult task due to the uncertainties of various factors related to the properties of soil and rock, which, unlike other engineering materials, are subject to spatial uncertainty. On the other hand, performing field tests such as static and dynamic load test is time-consuming and expensive; hence, finite element and Artificial Neural Networks (ANNs) methods are often of interest. This paper explains the finite element and ANNs methods to estimate the pile bearing capacity of sandy soil. The ANNs method is used to estimate the bearing capacity by using dynamic load test data. The outputs of finite element modeling were compared with a well-established empirical method for estimating the pile’s ultimate axial bearing capacity. The results show that finite element and ANNs prediction on the percentage of the ultimate load is close to each other.

Reference

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To Cite this article

H. Maizir, R. Suryanita and H. Jingga, “Estimation of pile bearing capacity of single driven pile in sandy soil using finite element and artificial neural network methods,” International Journal of Applied and Physical Sciences, vol. 2, no. 2, pp. 45-50, 2016.



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