Intelligent computing for modeling axial capacity of pile foundations
MetadataShow full item record
© Copyright 2012 – Canadian Science Publishing
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-based methods have been developed in accordance with the CPT results, which have been found to yield more reliable soil properties; hence, more accurate axial pile capacity predictions. In this paper, one of the most commonly used artificial intelligence techniques, i.e., artificial neural networks (ANNs), is utilized in an attempt to develop artificial neural network (ANN) models that provide more accurate axial capacity predictions for driven piles and drilled shafts. The ANN models are developed using data collected from the literature and comprise 80 driven pile and 94 drilled-shaft load tests, as well as CPT results. The predictions from the ANN models are compared with those obtained from the most commonly used available CPT-based methods, and statistical analyses are carried out to rank and evaluate the performance of the ANN models and CPT methods. To facilitate the use of the developed ANN models, they are translated into simple design equations suitable for hand calculations.
Showing items related by title, author, creator and subject.
Modelling pile capacity and load-settlement behaviour of piles embedded in sand & mixed soils using artificial intelligenceAlkroosh, Iyad Salim Jabor (2011)This thesis presents the development of numerical models which are intended to be used to predict the bearing capacity and the load-settlement behaviour of pile foundations embedded in sand and mixed soils. Two artificial ...
Alkroosh, Iyad; Shahin, Mohamed; Nikraz, Hamid (2009)The behavior of pile foundations under axial loading is complex and not yet entirely understood. Most available methods for predicting axial capacity of driven piles have failed to achieve consistent success in relation ...
Alkroosh, Iyad; Nikraz, Hamid (2011)Numerous methods have been proposed to assess the axial capacity of pile foundations. Most of the methods have limitations and therefore cannot provide consistent and accurate evaluation of pile capacity. However, in many ...