Show simple item record

dc.contributor.authorAlkroosh, I.
dc.contributor.authorNikraz, Hamid
dc.date.accessioned2017-01-30T11:25:53Z
dc.date.available2017-01-30T11:25:53Z
dc.date.created2016-02-04T19:30:31Z
dc.date.issued2014
dc.identifier.citationAlkroosh, I. and Nikraz, H. 2014. Predicting pile dynamic capacity via application of an evolutionary algorithm. Soils and Foundations. 54 (2): pp. 233-242.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/11628
dc.identifier.doi10.1016/j.sandf.2014.02.013
dc.description.abstract

This study presents the development of a new model obtained from the correlation of dynamic input and SPT data with pile capacity. An evolutionary algorithm, gene expression programming (GEP), was used for modelling the correlation. The data used for model development comprised 24 cases obtained from existing literature. The modelling was carried out by dividing the data into two sets: a training set for model calibration and a validation set for verifying the generalization capability of the model. The performance of the model was evaluated by comparing its predictions of pile capacity with experimental data and with predictions of pile capacity by two commonly used traditional methods and the artificial neural networks (ANNs) model. It was found that the model performs well with a coefficient of determination, mean, standard deviation and probability density at 50% equivalent to 0.94, 1.08, 0.14, and 1.05, respectively, for the training set, and 0.96, 0.95, 0.13, and 0.93, respectively, for the validation set. The low values of the calculated mean squared error and mean absolute error indicated that the model is accurate in predicting pile capacity. The results of comparison also showed that the model predicted pile capacity more accurately than traditional methods including the ANNs model. © 2014 The Japanese Geotechnical Society.

dc.titlePredicting pile dynamic capacity via application of an evolutionary algorithm
dc.typeJournal Article
dcterms.source.volume54
dcterms.source.number2
dcterms.source.startPage233
dcterms.source.endPage242
dcterms.source.issn0038-0806
dcterms.source.titleSoils and Foundations
curtin.departmentDepartment of Civil Engineering
curtin.accessStatusOpen access via publisher


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record