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    Automated Design Framework of Viscous Damping Walls for Structures under Multidirectional Earthquakes Using Physics-Informed Deep Reinforcement Learning

    Source: Journal of Structural Design and Construction Practice:;2026:;Volume ( 031 ):;issue: 003::page 04026027-1
    Author:
    Zhou, Chenying
    ,
    Shu, Wenhui
    ,
    Li, Xin
    ,
    Cao, Liyuan
    ,
    Li, Chunxiang
    DOI: 10.1061/JSDCCC.SCENG-2015
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn current engineering practice, the optimal design of the classical viscous damping wall (VDW) model typically relies on traditional optimization algorithms, which often involve the use of a large number of VDWs. To address this problem, this ...
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      Automated Design Framework of Viscous Damping Walls for Structures under Multidirectional Earthquakes Using Physics-Informed Deep Reinforcement Learning

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313259
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    contributor authorZhou, Chenying
    contributor authorShu, Wenhui
    contributor authorLi, Xin
    contributor authorCao, Liyuan
    contributor authorLi, Chunxiang
    date accessioned2026-08-20T12:14:02Z
    date available2026-08-20T12:14:02Z
    date copyright2026/03/18
    date issued2026
    identifier otherJSDCCC.SCENG-2015.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313259
    description abstractAbstractIn current engineering practice, the optimal design of the classical viscous damping wall (VDW) model typically relies on traditional optimization algorithms, which often involve the use of a large number of VDWs. To address this problem, this ...
    publisherAmerican Society of Civil Engineers
    titleAutomated Design Framework of Viscous Damping Walls for Structures under Multidirectional Earthquakes Using Physics-Informed Deep Reinforcement Learning
    typeJournal Article
    journal volume31
    journal issue3
    journal titleJournal of Structural Design and Construction Practice
    identifier doi10.1061/JSDCCC.SCENG-2015
    journal fristpage04026027-1
    journal lastpage04026027-19
    page19
    treeJournal of Structural Design and Construction Practice:;2026:;Volume ( 031 ):;issue: 003
    contenttypeFulltext
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