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

    Source: Journal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 009::page 04025054-1
    Author:
    Chen, Kefan
    ,
    Wang, Lingbo
    ,
    Lan, Yifu
    ,
    He, Shuanhai
    ,
    Lin, Weiwei
    DOI: 10.1061/JBENF2.BEENG-7040
    Publisher: American Society of Civil Engineers
    Abstract: Abstract 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 ...
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      Analyzing Multiple Modal Interactions Induced by Internal Resonances in Cable-Stayed Structures Using Machine Learning Techniques

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314263
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    contributor authorChen, Kefan
    contributor authorWang, Lingbo
    contributor authorLan, Yifu
    contributor authorHe, Shuanhai
    contributor authorLin, Weiwei
    date accessioned2026-08-20T21:18:27Z
    date available2026-08-20T21:18:27Z
    date copyright2025/06/20
    date issued2025
    identifier otherJBENF2.BEENG-7040.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314263
    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 ...
    publisherAmerican Society of Civil Engineers
    titleAnalyzing Multiple Modal Interactions Induced by Internal Resonances in Cable-Stayed Structures Using Machine Learning Techniques
    typeJournal Article
    journal volume30
    journal issue9
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/JBENF2.BEENG-7040
    journal fristpage04025054-1
    journal lastpage04025054-13
    page13
    treeJournal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 009
    contenttypeFulltext
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