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contributor authorLi, Yao
contributor authorWang, Junxin
contributor authorWang, Kai
contributor authorLiu, Han
contributor authorYang, Enhui
date accessioned2026-08-20T11:31:17Z
date available2026-08-20T11:31:17Z
date copyright2025/08/07
date issued2025
identifier otherJMCEE7.MTENG-20512.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312317
description abstractAbstractTo better understand the factors influencing asphalt pavement icing and its impact trends, a research approach combining indoor experiments, field meteorological factor investigations, and statistical analysis was adopted. An indoor simulation ...
publisherAmerican Society of Civil Engineers
titleIcing Prediction Model of Asphalt Pavement in Cold Regions Based on an Improved BP Neural Network
typeJournal Article
journal volume37
journal issue10
journal titleJournal of Materials in Civil Engineering
identifier doi10.1061/JMCEE7.MTENG-20512
journal fristpage04025362-1
journal lastpage04025362-14
page14
treeJournal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 010
contenttypeFulltext


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