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Data-Driven Adaptive Nearest-Neighbor Reconstruction for Early-Stage Damage Detection in Structures Subjected to Changing Environments

dc.contributor.authorWang, Zhen
dc.contributor.authorYi, Ting-Hua
dc.contributor.authorGuo, Chao
dc.contributor.authorWang, Ya-Fei
dc.contributor.authorLi, Chong
dc.contributor.authorLi, Hong-Nan
dc.date.accessioned2026-08-20T21:25:43Z
dc.date.available2026-08-20T21:25:43Z
dc.date.copyright2026/06/02
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6798.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314437
dc.description.abstractAbstractThe utilization of intelligent damage detection techniques that rely on modal frequencies has resulted in remarkable progress in civil structural health monitoring (SHM). However, changing environments often induce nonlinear and non-Gaussian modal ...
dc.publisherAmerican Society of Civil Engineers
dc.titleData-Driven Adaptive Nearest-Neighbor Reconstruction for Early-Stage Damage Detection in Structures Subjected to Changing Environments
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue5
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6798
dc.journal.fristpage04026061-1
dc.journal.lastpage04026061-13
dc.page13
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
dc.contenttypeFulltext


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