Prediction of pile settlement using artificial neural networks based on standard penetration test data

Computers and Geotechnics

Volumn 36, Issue 7, 2009, Pages 1125-1133

  Pooya Nejad, F ^a   Jaksa, Mark B ^b   Kakhi, M ^a   McCabe, Bryan A ^c  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Neural networks; Pile foundation; Pile load test; Settlement

Indexed keywords

ACCURATE PREDICTION; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; DATA SETS; INTERNAL NETWORK; OPTIMUM MODEL; PILE LOAD TEST; PILE-SETTLEMENT; SETTLEMENT; STANDARD PENETRATION TEST;

BACKPROPAGATION; FORECASTING; GEOTECHNICAL ENGINEERING; NEURAL NETWORKS; PILE FOUNDATIONS; SOIL STRUCTURE INTERACTIONS; TESTING;

PILES;

ARTIFICIAL NEURAL NETWORK; DESIGN; FOUNDATION; LOADING TEST; PILE; PREDICTION;

EID: 67651006180     PISSN: 0266352X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compgeo.2009.04.003     Document Type: Article

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