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contributor authorAwan, Malik Noor-Ul-Amin
contributor authorBarbosa de Carvalho, Silas Henrique
contributor authorHashemian, Leila
contributor authorShafiee, Mohammad
contributor authorBayat, Alireza
date accessioned2026-08-20T10:47:34Z
date available2026-08-20T10:47:34Z
date copyright2026/05/19
date issued2026
identifier otherJCRGEI.CRENG-966.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311263
description abstractAbstract Temperatures in the pavement layers are critical for preserving pavement structural integrity especially during freeze and thaw cycles. Better prediction of these temperatures, based on factors such as air temperature, incoming solar radiation, ...
publisherAmerican Society of Civil Engineers
titlePredictive Temperature Modeling in Granular Base and Subgrade Layers Using Machine Learning: A Smart Road Study in Edmonton, Alberta, Canada
typeJournal Article
journal volume40
journal issue3
journal titleJournal of Cold Regions Engineering
identifier doi10.1061/JCRGEI.CRENG-966
journal fristpage04026032-1
journal lastpage04026032-11
page11
treeJournal of Cold Regions Engineering:;2026:;Volume ( 040 ):;issue: 003
contenttypeFulltext


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