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    Development of Novel Self-Centering Timber Beam–Column Connections with SMA Bars

    Source: Journal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 008::page 04024078-1
    Author:
    Jiahao Huang
    ,
    Bin Wang
    ,
    Zhi-Peng Chen
    ,
    Songye Zhu
    DOI: 10.1061/JSENDH.STENG-13176
    Publisher: American Society of Civil Engineers
    Abstract: This study proposed a novel type of self-centering (SC) timber beam–column connection utilizing shape memory alloy (SMA) bars and investigated its cyclic behavior through experimental and numerical studies. In this SC connection, anchor bars consisting of SMA bars, steel bars, and couplers were utilized to connect the beam and column and achieve SC and energy dissipation capabilities. The configuration of the SC timber beam–column connection and material properties of the SMA bars were first introduced. The cyclic behavior of the SC timber beam–column connection was systematically investigated through experimental and numerical studies. A series of cyclic loading tests were conducted on the SC timber beam–column connection to evaluate its stiffness, SC, and energy dissipation capabilities, and the effect of multiearthquake loading. A detailed finite element model of the timber connection was also built and validated using the experimental results. Results indicated that the timber connection could exhibit a desirable flag-shaped hysteretic behavior, indicating favorable SC and moderate energy dissipation capabilities. The connection remained functional without any repair work after experiencing two consecutive cyclic loads up to 4% drift ratios, demonstrating its potential to withstand multiple seismic events.
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      Development of Novel Self-Centering Timber Beam–Column Connections with SMA Bars

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4298201
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    • Journal of Structural Engineering

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    contributor authorJiahao Huang
    contributor authorBin Wang
    contributor authorZhi-Peng Chen
    contributor authorSongye Zhu
    date accessioned2024-12-24T10:02:56Z
    date available2024-12-24T10:02:56Z
    date copyright8/1/2024 12:00:00 AM
    date issued2024
    identifier otherJSENDH.STENG-13176.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298201
    description abstractThis study proposed a novel type of self-centering (SC) timber beam–column connection utilizing shape memory alloy (SMA) bars and investigated its cyclic behavior through experimental and numerical studies. In this SC connection, anchor bars consisting of SMA bars, steel bars, and couplers were utilized to connect the beam and column and achieve SC and energy dissipation capabilities. The configuration of the SC timber beam–column connection and material properties of the SMA bars were first introduced. The cyclic behavior of the SC timber beam–column connection was systematically investigated through experimental and numerical studies. A series of cyclic loading tests were conducted on the SC timber beam–column connection to evaluate its stiffness, SC, and energy dissipation capabilities, and the effect of multiearthquake loading. A detailed finite element model of the timber connection was also built and validated using the experimental results. Results indicated that the timber connection could exhibit a desirable flag-shaped hysteretic behavior, indicating favorable SC and moderate energy dissipation capabilities. The connection remained functional without any repair work after experiencing two consecutive cyclic loads up to 4% drift ratios, demonstrating its potential to withstand multiple seismic events.
    publisherAmerican Society of Civil Engineers
    titleDevelopment of Novel Self-Centering Timber Beam–Column Connections with SMA Bars
    typeJournal Article
    journal volume150
    journal issue8
    journal titleJournal of Structural Engineering
    identifier doi10.1061/JSENDH.STENG-13176
    journal fristpage04024078-1
    journal lastpage04024078-15
    page15
    treeJournal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 008
    contenttypeFulltext
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