Journal of Rock Mechanics and Geotechnical Engineering
Volume 11, Issue 6, December 2019, Pages 1231-1242
Full Length ArticleNeural network-based model for prediction of permanent deformation of unbound granular materials
Under a Creative Commons license
open access
Keywords
Flexible pavement design
Unbound granular materials
Permanent deformation (PD)
Repeated load triaxial test (RLTT)
Prediction models
Artificial neural network (ANN)
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Ali Alnedawi obtained his BSc and MSc degrees in Highway and Transportation Engineering from AlMustansiriya University, Iraq, in 2005 and 2012, respectively. He worked as a civil engineer from 2005 to 2015, and he is currently a PhD student at Deakin University, Australia. His research interests include pavement engineering and management, and geotechnical engineering.
Peer review under responsibility of Institute of Rock and Soil Mechanics, Chinese Academy of Sciences.
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