Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles

Axial bearing capacity (ABC) of piles is usually determined by static load test (SLT). However, conducting SLT is costly and time-consuming. High strain dynamic pile testing (HSDPT) which is provided by pile driving analyzer (PDA) is a more recent approach for predicting the ABC of piles. In compari...

Full description

Saved in:

Bibliographic Details
Main Authors:	Ehsan Momeni, Ramli Nazir, Danial Jahed Armaghani, Harnedi Maizir
Format:	Article
Language:	English
Published:	Universidad Nacional de Colombia 2015-01-01
Series:	Earth Sciences Research Journal
Subjects:	Axial bearing capacity artificial neural network high strain dynamic testing pile shaft resistance pile tip resistance
Online Access:	https://revistas.unal.edu.co/index.php/esrj/article/view/38712
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles

Similar Items