Regressive approach for predicting bearing capacity of bored piles from cone penetration test data

Regressive approach for predicting bearing capacity of bored piles from cone penetration test data

In this study, the least square support vector machine (LSSVM) algorithm was applied to predicting the bearing capacity of bored piles embedded in sand and mixed soils. Pile geometry and cone penetration test (CPT) results were used as input variables for prediction of pile bearing capacity. The dat...

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Bibliographic Details
Main Authors: Iyad S. Alkroosh, Mohammad Bahadori, Hamid Nikraz, Alireza Bahadori
Format: Article
Language:English
Published: Elsevier 2015-10-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Bored piles
Cone penetration test (CPT)
Bearing capacity
Least square support vector machine (LSSVM)
Training
Validation
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775515000876

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http://www.sciencedirect.com/science/article/pii/S1674775515000876

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