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Analyzing Multiple Modal Interactions Induced by Internal Resonances in Cable-Stayed Structures Using Machine Learning Techniques

dc.contributor.authorChen, Kefan
dc.contributor.authorWang, Lingbo
dc.contributor.authorLan, Yifu
dc.contributor.authorHe, Shuanhai
dc.contributor.authorLin, Weiwei
dc.date.accessioned2026-08-20T21:18:27Z
dc.date.available2026-08-20T21:18:27Z
dc.date.copyright2025/06/20
dc.date.issued2025
dc.identifier.otherJBENF2.BEENG-7040.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314263
dc.description.abstractAbstract Nonlinear oscillations induced by modal interactions are commonly observed in cable-stayed bridges, which are complex to investigate through numerical simulations. Given this challenge, this paper conducted a series of laboratory experiments and ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAnalyzing Multiple Modal Interactions Induced by Internal Resonances in Cable-Stayed Structures Using Machine Learning Techniques
dc.typeJournal Article
dc.journal.volume30
dc.journal.issue9
dc.journal.titleJournal of Bridge Engineering
dc.identifier.doi10.1061/JBENF2.BEENG-7040
dc.journal.fristpage04025054-1
dc.journal.lastpage04025054-13
dc.page13
dc.treeJournal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 009
dc.contenttypeFulltext


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