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contributor authorKe-zhen
contributor authorYan
contributor authorHong-bin
contributor authorXu
contributor authorGuang-hui
contributor authorShen
date accessioned2017-05-08T21:46:13Z
date available2017-05-08T21:46:13Z
date copyrightDecember 2014
date issued2014
identifier other%28asce%29gt%2E1943-5606%2E0000002.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/61762
description abstractGene expression programming (GEP) models, a robust variant of genetic programming, are developed in this study to correlate resilient modulus with routine properties of subgrade soils and state of stress for pavement design applications. A database used for building the model was developed that contained grain size distribution, Atterberg limits, standard Proctor, unconfined compression, and resilient modulus results for 97 soils from 16 different counties in Oklahoma. Of these, 63 soils (development data set) are used in training, and the remaining 34 soils (evaluation data set) from two different counties are used in evaluation of the models developed. Two different correlations were developed using different combinations of the influencing parameters. The proposed constitutive models relate the resilient modulus of routine subgrade soils to moisture content
publisherAmerican Society of Civil Engineers
titleNovel Approach to Resilient Modulus Using Routine Subgrade Soil Properties
typeJournal Paper
journal volume14
journal issue6
journal titleInternational Journal of Geomechanics
identifier doi10.1061/(ASCE)GM.1943-5622.0000369
treeInternational Journal of Geomechanics:;2014:;Volume ( 014 ):;issue: 006
contenttypeFulltext


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