Application of artificial neural network for predicting shaft and tip resistances of concrete piles

• Main Authors: Momeni, Ehsan, Nazir, Ramli, Armaghani, Danial Jahed, Maizir, Harnedi
• Format: Article
• Published: Universidad Nacional de Colombia 2015
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/57853/; http://dx.doi.org/10.15446/esrj.v19n1.38712

Axial bearing capacity (ABC) of piles is usually determined by static load test (SLT). However, conducting SLT is costlyand 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 compariso...