YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Vibration and Acoustics
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Vibration and Acoustics
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Application of Modal Identification Methods to Spatial Structure Using Field Measurement Data

    Source: Journal of Vibration and Acoustics:;2009:;volume( 131 ):;issue: 003::page 34503
    Author:
    Wei Liu
    ,
    Wei-cheng Gao
    ,
    Yi Sun
    DOI: 10.1115/1.3085881
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Modal identification with output-only measurements plays a key role in vibration-based damage detection, model updating, and structural health monitoring in civil engineering. This paper addresses the application of modal identification method to a triangle steel tube truss natatorium using the field measurement data. To obtain dynamic characteristics of the spatial structure, four different output-only system identification methods are employed. They are natural excitation technique–eigensystem realization algorithm, data-driven stochastic subspace identification method, frequency-domain decomposition/frequency-spatial domain decomposition method, and half spectra/rational fractional orthogonal polynomial method. First an analytical modal analysis was performed on the three-dimensional finite element model according to the factual layout design to obtain the calculated frequencies and mode shapes. Then the whole procedure of the field vibration tests on the natatorium was presented. Finally, practical issues and efficiency of the four output-only modal identification techniques are investigated, and compared with the results from a finite element model. The system identification results demonstrate that both methods can provide reliable information on dynamic characteristics of the spatial structure. The frequency-domain methods, however, can quickly identify the modal parameters, but the leakage error introduced by power-spectral density estimation is existent due to the limited length of data. And the time-domain methods can avoid the leakage error, but the computational modes and the computational cost are the main two drawbacks in application. The conclusion is that several system identification methods should be consulted to ensure the accuracy of the estimated modal parameters.
    keyword(s): Density , Spectra (Spectroscopy) , Steel , Trusses (Building) , Finite element methods , Vibration tests , Algorithms , Vibration , Finite element model , Frequency , Shapes , Errors , Polynomials , Eigenvalues , Measurement , Functions AND Structural health monitoring ,
    • Download: (1.743Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Application of Modal Identification Methods to Spatial Structure Using Field Measurement Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/142290
    Collections
    • Journal of Vibration and Acoustics

    Show full item record

    contributor authorWei Liu
    contributor authorWei-cheng Gao
    contributor authorYi Sun
    date accessioned2017-05-09T00:36:01Z
    date available2017-05-09T00:36:01Z
    date copyrightJune, 2009
    date issued2009
    identifier issn1048-9002
    identifier otherJVACEK-28900#034503_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/142290
    description abstractModal identification with output-only measurements plays a key role in vibration-based damage detection, model updating, and structural health monitoring in civil engineering. This paper addresses the application of modal identification method to a triangle steel tube truss natatorium using the field measurement data. To obtain dynamic characteristics of the spatial structure, four different output-only system identification methods are employed. They are natural excitation technique–eigensystem realization algorithm, data-driven stochastic subspace identification method, frequency-domain decomposition/frequency-spatial domain decomposition method, and half spectra/rational fractional orthogonal polynomial method. First an analytical modal analysis was performed on the three-dimensional finite element model according to the factual layout design to obtain the calculated frequencies and mode shapes. Then the whole procedure of the field vibration tests on the natatorium was presented. Finally, practical issues and efficiency of the four output-only modal identification techniques are investigated, and compared with the results from a finite element model. The system identification results demonstrate that both methods can provide reliable information on dynamic characteristics of the spatial structure. The frequency-domain methods, however, can quickly identify the modal parameters, but the leakage error introduced by power-spectral density estimation is existent due to the limited length of data. And the time-domain methods can avoid the leakage error, but the computational modes and the computational cost are the main two drawbacks in application. The conclusion is that several system identification methods should be consulted to ensure the accuracy of the estimated modal parameters.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleApplication of Modal Identification Methods to Spatial Structure Using Field Measurement Data
    typeJournal Paper
    journal volume131
    journal issue3
    journal titleJournal of Vibration and Acoustics
    identifier doi10.1115/1.3085881
    journal fristpage34503
    identifier eissn1528-8927
    keywordsDensity
    keywordsSpectra (Spectroscopy)
    keywordsSteel
    keywordsTrusses (Building)
    keywordsFinite element methods
    keywordsVibration tests
    keywordsAlgorithms
    keywordsVibration
    keywordsFinite element model
    keywordsFrequency
    keywordsShapes
    keywordsErrors
    keywordsPolynomials
    keywordsEigenvalues
    keywordsMeasurement
    keywordsFunctions AND Structural health monitoring
    treeJournal of Vibration and Acoustics:;2009:;volume( 131 ):;issue: 003
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian