NDLI: New method for predicting the ultimate bearing capacity of driven piles by using Flap number

Content Provider	Springer Nature Link
Author	Milad, Fatehnia Kamal, Tawfiq Nader, Hataf Erman, Ozguven Eren
Copyright Year	2015
Abstract	A new method was proposed to predict the compressive bearing capacity of driven piles based on the number of hammer strikes in the last one meter of pile penetration (known here as Flap number). To collect the data, a literature review was done on technical publications and pile driving record reports that were accessible to the authors at the time of publication. The data of a hundred driven piles including Flap number, basic properties of the surrounding soil, pile geometry, and pile-soil friction angle was collected. These data were initially used in the artificial neural network to establish a relation for predicting pile capacity. Subsequently, by using genetic programing and linear regression, equations for determining pile bearing capacity with respect to the Flap number, soil parameters, and pile geometries were proposed. Finally, the performance of all applied methods in predicting the pile bearing capacity were compared. The utmost importance was given to the comparison of the accuracy of the three models as well as the error estimation.
Starting Page	611
Ending Page	620
Page Count	10
File Format	PDF
ISSN	12267988
Journal	KSCE Journal of Civil Engineering
Volume Number	19
Issue Number	3
e-ISSN	19763808
Language	English
Publisher	Korean Society of Civil Engineers
Publisher Date	2014-10-03
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	driven pile Flap number bearing capacity neural network genetic programming Civil Engineering Industrial Pollution Prevention Geotechnical Engineering & Applied Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Civil and Structural Engineering

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