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...
- 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