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    Recovery of Modal Information From a Beam Undergoing Random Vibration

    Source: Journal of Manufacturing Science and Engineering:;1974:;volume( 096 ):;issue: 004::page 1307
    Author:
    W. W. Parmenter
    ,
    R. G. Christiansen
    DOI: 10.1115/1.3438511
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An organized approach for implementing the techniques of random process theory in the recovery of structural information from random vibration data is presented. The boundaries of various configured Bernoulli-Euler like beams are subjected to random vibrations and the acceleration response of these beams is measured and recorded. The Fast Fourier Transform (FFT) makes the use of random process theory both a feasible and economical tool for experimental structural analysis.
    keyword(s): Random vibration , Stochastic processes , Structural analysis AND Fast Fourier transforms ,
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      Recovery of Modal Information From a Beam Undergoing Random Vibration

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/164968
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    contributor authorW. W. Parmenter
    contributor authorR. G. Christiansen
    date accessioned2017-05-09T01:38:31Z
    date available2017-05-09T01:38:31Z
    date copyrightNovember, 1974
    date issued1974
    identifier issn1087-1357
    identifier otherJMSEFK-27616#1307_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/164968
    description abstractAn organized approach for implementing the techniques of random process theory in the recovery of structural information from random vibration data is presented. The boundaries of various configured Bernoulli-Euler like beams are subjected to random vibrations and the acceleration response of these beams is measured and recorded. The Fast Fourier Transform (FFT) makes the use of random process theory both a feasible and economical tool for experimental structural analysis.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRecovery of Modal Information From a Beam Undergoing Random Vibration
    typeJournal Paper
    journal volume96
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3438511
    journal fristpage1307
    journal lastpage1313
    identifier eissn1528-8935
    keywordsRandom vibration
    keywordsStochastic processes
    keywordsStructural analysis AND Fast Fourier transforms
    treeJournal of Manufacturing Science and Engineering:;1974:;volume( 096 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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