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    Peak Factors for Non-Gaussian Load Effects Revisited

    Source: Journal of Structural Engineering:;2011:;Volume ( 137 ):;issue: 012
    Author:
    Dae Kun Kwon
    ,
    Ahsan Kareem
    DOI: 10.1061/(ASCE)ST.1943-541X.0000412
    Publisher: American Society of Civil Engineers
    Abstract: The estimation of the extreme of non-Gaussian load effects for design applications has often been treated tacitly by invoking a conventional peak factor on the basis of Gaussian processes. This assumption breaks down when the loading process exhibits non-Gaussianity, in which a conventional peak factor yields relatively nonconservative estimates because of failure to include long tail regions inherent to non-Gaussian processes. To realistically capture the salient characteristics of non-Gaussian load effects and incorporate these in the estimates of their extremes, this study examines the peak factor for non-Gaussian processes, which can be used for estimating the expected value of the positive and negative extremes of non-Gaussian load effects. The efficacy of previously introduced analytical expressions for the peak factor of non-Gaussian processes on the basis of a moment-based Hermite model is evaluated and the variance of the estimates in standard deviation is derived. In addition, some improvements to the estimation of the peak factor and its standard deviation are discussed. Examples, including immediate applications to other areas, illustrate the effectiveness of this model-based peak factor approach.
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      Peak Factors for Non-Gaussian Load Effects Revisited

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    contributor authorDae Kun Kwon
    contributor authorAhsan Kareem
    date accessioned2017-05-08T21:59:31Z
    date available2017-05-08T21:59:31Z
    date copyrightDecember 2011
    date issued2011
    identifier other%28asce%29st%2E1943-541x%2E0000452.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/68318
    description abstractThe estimation of the extreme of non-Gaussian load effects for design applications has often been treated tacitly by invoking a conventional peak factor on the basis of Gaussian processes. This assumption breaks down when the loading process exhibits non-Gaussianity, in which a conventional peak factor yields relatively nonconservative estimates because of failure to include long tail regions inherent to non-Gaussian processes. To realistically capture the salient characteristics of non-Gaussian load effects and incorporate these in the estimates of their extremes, this study examines the peak factor for non-Gaussian processes, which can be used for estimating the expected value of the positive and negative extremes of non-Gaussian load effects. The efficacy of previously introduced analytical expressions for the peak factor of non-Gaussian processes on the basis of a moment-based Hermite model is evaluated and the variance of the estimates in standard deviation is derived. In addition, some improvements to the estimation of the peak factor and its standard deviation are discussed. Examples, including immediate applications to other areas, illustrate the effectiveness of this model-based peak factor approach.
    publisherAmerican Society of Civil Engineers
    titlePeak Factors for Non-Gaussian Load Effects Revisited
    typeJournal Paper
    journal volume137
    journal issue12
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)ST.1943-541X.0000412
    treeJournal of Structural Engineering:;2011:;Volume ( 137 ):;issue: 012
    contenttypeFulltext
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