Intelligent computing for modeling axial capacity of pile foundations

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Intelligent computing for modeling axial capacity of pile foundations

In the last few decades, numerous methods have been developed for predicting the axial capacity of pile foundations. Among the available methods, the cone penetration test (CPT)-based models have been shown to give better predictions in many situations. This can be attributed to the fact that CPT-ba...

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Bibliographic Details
Main Author:	Shahin, Mohamed
Format:	Journal Article
Published:	NRC Canada 2010
Subjects:	driven piles drilled shafts artificial neural networks axial capacity modeling
Online Access:	http://hdl.handle.net/20.500.11937/20665

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