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dc.contributor.authorAlkroosh, Iyad
dc.contributor.authorShahin, Mohamed
dc.contributor.authorNikraz, Hamid
dc.contributor.editorM Isabel M Pinto
dc.contributor.editorMyint Win Bo
dc.date.accessioned2017-01-30T14:36:17Z
dc.date.available2017-01-30T14:36:17Z
dc.date.created2010-08-09T20:02:36Z
dc.date.issued2010
dc.identifier.citationAlkroosh, I. and Shahin, M. and Nikraz, H. 2010. Predicting load-settlement relationship of driven piles in sand and mixed soils using artificial neural networks, in Pinto, I. and Bo, M. (ed), Twin International Conferences on Geotechnical and Geo-Environmental Engineering cum (7th) Ground Improvement Techniques, pp. 163-168. Seoul, South Korea: CI-Premier.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/39704
dc.description.abstract

An accurate prediction of pile behaviour under axial loads is necessary for safe and cost effective design. This paper presents the development of a new model, based on artificial neural networks (ANNs), to predict the load-settlement relationship of driven piles in sand and mixed soils, and subjected to axial loads. ANNs have been recently applied to many geotechnical engineering problems and have shown to provide high degree of success. Two models are developed; one for steel piles and the other for concrete piles. The data used for ANN models development are collected from the literature and comprise a series of in-situ driven piles load tests as well as cone penetration test (CPT) results. Predictions from the ANN models are compared with the results of experimental data, and statistical analysis is conducted to verify the performance of ANN models. The results indicate that ANN models perform well and able to predict the pile load-settlement relationship quite accurately.

dc.publisherCI-Premier
dc.titlePredicting load-settlement relationship of driven piles in sand and mixed soils using artificial neural networks
dc.typeConference Paper
dcterms.source.startPage163
dcterms.source.endPage168
dcterms.source.titleProceedings of the 4th International Conference on Geotechnical and Geo-Environmental Engineerring
dcterms.source.seriesProceedings of the 4th International Conference on Geotechnical and Geo-Environmental Engineerring
dcterms.source.isbn978-981-08-5201-6
dcterms.source.conference4th International Conference on Geotechnical and Geo-Environmental Engineerring
dcterms.source.conference-start-dateJun 23 2010
dcterms.source.conferencelocationSeoul, South Korea
dcterms.source.placeSingapore
curtin.accessStatusOpen access
curtin.facultySchool of Engineering
curtin.facultyDepartment of Civil Engineering
curtin.facultyFaculty of Science and Engineering


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