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

Autores:
Momeni, Ehsan
Nazir, Ramli
Jahed Armaghani, Danial
Maizir, Harnedi
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/63650
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/63650
http://bdigital.unal.edu.co/64096/
Palabra clave:
55 Ciencias de la tierra / Earth sciences and geology
Axial bearing capacity
artificial neural network
high strain dynamic testing
pile shaft resistance
pile tip resistance
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional