YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Engineering for Gas Turbines and Power
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Engineering for Gas Turbines and Power
    • 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

    Modal Identification for Integrally Bladed Rotors Under Traveling Wave Excitation

    Source: Journal of Engineering for Gas Turbines and Power:;2023:;volume( 145 ):;issue: 006::page 61010-1
    Author:
    Beck, Joseph A.
    ,
    Brown, Jeffrey M.
    ,
    Gillaugh, Daniel L.
    ,
    Kaszynski, Alex A.
    DOI: 10.1115/1.4056538
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The safety of a fielded integrally bladed rotor (IBR) is often assessed through vibration testing. Responses due to various types of excitation are measured and processed and can be inputs to follow-on analyses, such as mistuning identification. One such excitation technique is the traveling wave excitation (TWE) where all blades are simultaneously excited at phase differences that attempt to replicate naturally occurring mode shapes and certain operating conditions. This test relies on noncontact exciters, e.g., magnets and speakers, that are often not directly measured. As a result, formulating the frequency response function (FRF) is difficult and the extraction of system modal data using FRF fitting techniques in the absence of FRFs is not possible. This paper presents an approach to use measured responses from TWE tests. It is shown that the fast Fourier transform (FFT) of the TWE inputs is mostly independent over the prescribed frequency range. Consequently, the output spectral density matrix can be formulated in an operational modal analysis (OMA) sense, where direct measurement of the inputs is not needed. A full spectral density matrix is then formulated from a single measurement on each blade obtained during a single test, thus reducing the number of measurement locations and testing excitation conditions. This matrix is fit by a polyreference-least squares complex frequency-domain (P-LSCF) system identification technique tailored for OMA-type measurements. The methodology is tested using simulated TWE data for an IBR model using different damping levels. Comparisons between identified modal data and those used to create the model are made and show the methodology accurately predicts underlying system information even for closely spaced modes that are common to IBRs. Finally, the method is used on experimental TWE data of an industrial IBR.
    • Download: (3.607Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Modal Identification for Integrally Bladed Rotors Under Traveling Wave Excitation

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4294314
    Collections
    • Journal of Engineering for Gas Turbines and Power

    Show full item record

    contributor authorBeck, Joseph A.
    contributor authorBrown, Jeffrey M.
    contributor authorGillaugh, Daniel L.
    contributor authorKaszynski, Alex A.
    date accessioned2023-11-29T18:40:42Z
    date available2023-11-29T18:40:42Z
    date copyright1/13/2023 12:00:00 AM
    date issued1/13/2023 12:00:00 AM
    date issued2023-01-13
    identifier issn0742-4795
    identifier othergtp_145_06_061010.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294314
    description abstractThe safety of a fielded integrally bladed rotor (IBR) is often assessed through vibration testing. Responses due to various types of excitation are measured and processed and can be inputs to follow-on analyses, such as mistuning identification. One such excitation technique is the traveling wave excitation (TWE) where all blades are simultaneously excited at phase differences that attempt to replicate naturally occurring mode shapes and certain operating conditions. This test relies on noncontact exciters, e.g., magnets and speakers, that are often not directly measured. As a result, formulating the frequency response function (FRF) is difficult and the extraction of system modal data using FRF fitting techniques in the absence of FRFs is not possible. This paper presents an approach to use measured responses from TWE tests. It is shown that the fast Fourier transform (FFT) of the TWE inputs is mostly independent over the prescribed frequency range. Consequently, the output spectral density matrix can be formulated in an operational modal analysis (OMA) sense, where direct measurement of the inputs is not needed. A full spectral density matrix is then formulated from a single measurement on each blade obtained during a single test, thus reducing the number of measurement locations and testing excitation conditions. This matrix is fit by a polyreference-least squares complex frequency-domain (P-LSCF) system identification technique tailored for OMA-type measurements. The methodology is tested using simulated TWE data for an IBR model using different damping levels. Comparisons between identified modal data and those used to create the model are made and show the methodology accurately predicts underlying system information even for closely spaced modes that are common to IBRs. Finally, the method is used on experimental TWE data of an industrial IBR.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleModal Identification for Integrally Bladed Rotors Under Traveling Wave Excitation
    typeJournal Paper
    journal volume145
    journal issue6
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4056538
    journal fristpage61010-1
    journal lastpage61010-9
    page9
    treeJournal of Engineering for Gas Turbines and Power:;2023:;volume( 145 ):;issue: 006
    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