Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetration Test Results and Back-Propagation Artificial Neural Network

Resilient modulus (Mr) of subgrade soils is considered as one of the most important factors for designing flexible pavements using empirical methods as well as mechanistic-empirical methods. The resilient modulus is commonly measured by a dynamic triaxial loading test, which is complex and expensive...

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Bibliographic Details

Published in:	Journal of Rehabilitation in Civil Engineering
Main Authors:	Ali Reza Ghanizadeh, Arash Ziaee, Seyed Mohammad Hossein Khatami, Pouyan Fakharian
Format:	Article
Language:	English
Published:	Semnan University 2022-11-01
Subjects:	resilient modulus clayey soils cone penetration test back-propagation algorithm artificial neural network
Online Access:	https://civiljournal.semnan.ac.ir/article_6182_a977498d63176664fc2edaad72b5a0e4.pdf