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Data-Driven Structural Deformation Identification for High-Rise Buildings Using Multisensor Measurements with Real-World Validation

dc.contributor.authorWang, Luji
dc.contributor.authorShan, Jiazeng
dc.contributor.authorLu, Xilin
dc.contributor.authorZhang, Qilin
dc.date.accessioned2026-08-20T12:18:40Z
dc.date.available2026-08-20T12:18:40Z
dc.date.copyright2025/06/05
dc.date.issued2025
dc.identifier.otherJSENDH.STENG-14514.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313349
dc.description.abstractAbstractStructural deformation of high-rise buildings is informative and crucial for assessing both safety and serviceability. This study introduces a data-driven two-stage estimation framework for flexural deformation of high-rise structures employing ...
dc.publisherAmerican Society of Civil Engineers
dc.titleData-Driven Structural Deformation Identification for High-Rise Buildings Using Multisensor Measurements with Real-World Validation
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue8
dc.journal.titleJournal of Structural Engineering
dc.identifier.doi10.1061/JSENDH.STENG-14514
dc.journal.fristpage04025113-1
dc.journal.lastpage04025113-14
dc.page14
dc.treeJournal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 008
dc.contenttypeFulltext


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