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    Damage-Identification Method for Bridge Structures Based on Displacement Influence Line and Wavelet Packet Analysis

    Source: Journal of Performance of Constructed Facilities:;2023:;Volume ( 037 ):;issue: 006::page 04023047-1
    Author:
    Daihai Chen
    ,
    Yunsen Zhang
    ,
    Zheng Li
    ,
    Shizhan Xu
    ,
    Yu Zhang
    DOI: 10.1061/JPCFEV.CFENG-4549
    Publisher: ASCE
    Abstract: This paper proposes a method of identifying damage to bridge structures based on the principles of displacement influence line and wavelet packet transform. Three damage identification indicators were constructed, including the deviation of displacement influence line (DDIL), the deviation curvature of displacement influence line (DCDIL), and the relative energy rate of wavelet packet energy spectrum (RES). Taking a continuous beam bridge as an example, a finite element model is established to analyze the differences in using three indicators to locate the structural damage position, and to explore the effects of factors such as damage degree, damage location, dynamic response type, and bidirectional traffic on the identification effect. Next, the Zhengzhou Taohuayu Yellow River Bridge is taken as a practical case for verification analysis, and the anti-interference ability and sensitivity of the RES damage indicator are discussed under the interference of noise factors. The results demonstrate that the three identification indicators have excellent performance in identifying bridge structure damage. Compared to the DDIL, the DCDIL shows a more obvious mutation at the damage location, while the RES curve improves the problem of poor identification effect at locations far from the midspan of the bridge by requiring response information from multiple points of the bridge. The RES curve, which was constructed using displacement as the input parameter, exhibits the best comprehensive identification effect. Additionally, it maintains its robustness even when subjected to the interference of bidirectional traffic and noise.
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      Damage-Identification Method for Bridge Structures Based on Displacement Influence Line and Wavelet Packet Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4294057
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    contributor authorDaihai Chen
    contributor authorYunsen Zhang
    contributor authorZheng Li
    contributor authorShizhan Xu
    contributor authorYu Zhang
    date accessioned2023-11-28T00:06:02Z
    date available2023-11-28T00:06:02Z
    date issued8/24/2023 12:00:00 AM
    date issued2023-08-24
    identifier otherJPCFEV.CFENG-4549.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294057
    description abstractThis paper proposes a method of identifying damage to bridge structures based on the principles of displacement influence line and wavelet packet transform. Three damage identification indicators were constructed, including the deviation of displacement influence line (DDIL), the deviation curvature of displacement influence line (DCDIL), and the relative energy rate of wavelet packet energy spectrum (RES). Taking a continuous beam bridge as an example, a finite element model is established to analyze the differences in using three indicators to locate the structural damage position, and to explore the effects of factors such as damage degree, damage location, dynamic response type, and bidirectional traffic on the identification effect. Next, the Zhengzhou Taohuayu Yellow River Bridge is taken as a practical case for verification analysis, and the anti-interference ability and sensitivity of the RES damage indicator are discussed under the interference of noise factors. The results demonstrate that the three identification indicators have excellent performance in identifying bridge structure damage. Compared to the DDIL, the DCDIL shows a more obvious mutation at the damage location, while the RES curve improves the problem of poor identification effect at locations far from the midspan of the bridge by requiring response information from multiple points of the bridge. The RES curve, which was constructed using displacement as the input parameter, exhibits the best comprehensive identification effect. Additionally, it maintains its robustness even when subjected to the interference of bidirectional traffic and noise.
    publisherASCE
    titleDamage-Identification Method for Bridge Structures Based on Displacement Influence Line and Wavelet Packet Analysis
    typeJournal Article
    journal volume37
    journal issue6
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/JPCFEV.CFENG-4549
    journal fristpage04023047-1
    journal lastpage04023047-11
    page11
    treeJournal of Performance of Constructed Facilities:;2023:;Volume ( 037 ):;issue: 006
    contenttypeFulltext
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