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dc.contributor.authorZhang, Xuebing
dc.contributor.authorWen, Kenxuan
dc.contributor.authorLiu, Luoqing
dc.contributor.authorCao, Jun
dc.contributor.authorZheng, Zhizhou
dc.contributor.authorChen, Zhizhan
dc.contributor.authorXiang, Ping
dc.date.accessioned2026-08-20T12:02:51Z
dc.date.available2026-08-20T12:02:51Z
dc.date.copyright2026/03/31
dc.date.issued2026
dc.identifier.otherJPEODX.PVENG-2015.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313023
dc.description.abstractAbstractIn this paper, an artificial intelligence-driven distributed fiber optic sensing technology was used to monitor the mechanical behavior of asphalt concrete under different loading forms to address the problem of damage evolution prediction of ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDistributed Fiber Optic Sensing Integrating TCN-Transformer for Damage Evolution Analysis of Asphalt Concrete under Freeze–Thaw Cycles
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Transportation Engineering, Part B: Pavements
dc.identifier.doi10.1061/JPEODX.PVENG-2015
dc.journal.fristpage04026018-1
dc.journal.lastpage04026018-13
dc.page13
dc.treeJournal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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