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    Vision-Based Modal Analysis Using Multiple Vibration Distribution Synthesis to Inspect Large-Scale Structures

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 003::page 31007
    Author:
    Aoyama, Tadayoshi
    ,
    Li, Liang
    ,
    Jiang, Mingjun
    ,
    Takaki, Takeshi
    ,
    Ishii, Idaku
    ,
    Yang, Hua
    ,
    Umemoto, Chikako
    ,
    Matsuda, Hiroshi
    ,
    Chikaraishi, Makoto
    ,
    Fujiwara, Akimasa
    DOI: 10.1115/1.4041604
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Previously, we proposed a multithread active vision system with virtual multiple pan-tilt tracking cameras by rapidly switching the viewpoints for the vibration sensing of large-scale structures. We also developed a system using a galvanometer mirror that can switch 500 different viewpoints in 1 s. However, the measurement rate of each observation point is low, and the time density is not always sufficient. In addition, strong multiple illuminations are required for the system owing to the retro reflective markers attached to the object being observed. In this study, we propose a multiple vibration distribution synthesis method for vibration analysis that increases the sampling rate of each observation point in the multi-thread active vision system, which is subsequently modified to a system that requires only one illumination by using corner cubes as markers. Several dynamics-based inspection experiments are conducted for a 4 m long truss-structure bridge model. The proposed method and system are verified via a high-order modal analysis, which was impossible to perform in the previous method and system.
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      Vision-Based Modal Analysis Using Multiple Vibration Distribution Synthesis to Inspect Large-Scale Structures

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4256315
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    contributor authorAoyama, Tadayoshi
    contributor authorLi, Liang
    contributor authorJiang, Mingjun
    contributor authorTakaki, Takeshi
    contributor authorIshii, Idaku
    contributor authorYang, Hua
    contributor authorUmemoto, Chikako
    contributor authorMatsuda, Hiroshi
    contributor authorChikaraishi, Makoto
    contributor authorFujiwara, Akimasa
    date accessioned2019-03-17T10:45:03Z
    date available2019-03-17T10:45:03Z
    date copyright11/8/2018 12:00:00 AM
    date issued2019
    identifier issn0022-0434
    identifier otherds_141_03_031007.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256315
    description abstractPreviously, we proposed a multithread active vision system with virtual multiple pan-tilt tracking cameras by rapidly switching the viewpoints for the vibration sensing of large-scale structures. We also developed a system using a galvanometer mirror that can switch 500 different viewpoints in 1 s. However, the measurement rate of each observation point is low, and the time density is not always sufficient. In addition, strong multiple illuminations are required for the system owing to the retro reflective markers attached to the object being observed. In this study, we propose a multiple vibration distribution synthesis method for vibration analysis that increases the sampling rate of each observation point in the multi-thread active vision system, which is subsequently modified to a system that requires only one illumination by using corner cubes as markers. Several dynamics-based inspection experiments are conducted for a 4 m long truss-structure bridge model. The proposed method and system are verified via a high-order modal analysis, which was impossible to perform in the previous method and system.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleVision-Based Modal Analysis Using Multiple Vibration Distribution Synthesis to Inspect Large-Scale Structures
    typeJournal Paper
    journal volume141
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4041604
    journal fristpage31007
    journal lastpage031007-12
    treeJournal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian