YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Engineering Mechanics
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Engineering Mechanics
    • 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

    Damage Accumulation in Glass Plates

    Source: Journal of Engineering Mechanics:;2002:;Volume ( 128 ):;issue: 007
    Author:
    Massimiliano Gioffrè
    ,
    Vittorio Gusella
    DOI: 10.1061/(ASCE)0733-9399(2002)128:7(801)
    Publisher: American Society of Civil Engineers
    Abstract: This paper examines the glass cladding damage accumulation caused by wind loading. The primary focus is the effect of the non-Gaussian nature of wind pressure fluctuations. The damage is estimated using the Monte Carlo methodology and Brown’s integral formulation. The pressure time histories are generated by a numerical procedure based on the translation model, which is calibrated on experimental data. The stress field in the glass is calculated using the von Kármán plate model. A sensitivity analysis is performed estimating the damage statistical moments, up to the fourth order, and its probability density function. The obtained results demonstrate that the classical Gaussian assumption used to model wind pressure is unsafe. The accurate modeling of the non-Gaussian features produces a significant amplification of the damage mean value and higher variability of the damage distribution.
    • Download: (83.72Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Damage Accumulation in Glass Plates

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/85592
    Collections
    • Journal of Engineering Mechanics

    Show full item record

    contributor authorMassimiliano Gioffrè
    contributor authorVittorio Gusella
    date accessioned2017-05-08T22:39:52Z
    date available2017-05-08T22:39:52Z
    date copyrightJuly 2002
    date issued2002
    identifier other%28asce%290733-9399%282002%29128%3A7%28801%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/85592
    description abstractThis paper examines the glass cladding damage accumulation caused by wind loading. The primary focus is the effect of the non-Gaussian nature of wind pressure fluctuations. The damage is estimated using the Monte Carlo methodology and Brown’s integral formulation. The pressure time histories are generated by a numerical procedure based on the translation model, which is calibrated on experimental data. The stress field in the glass is calculated using the von Kármán plate model. A sensitivity analysis is performed estimating the damage statistical moments, up to the fourth order, and its probability density function. The obtained results demonstrate that the classical Gaussian assumption used to model wind pressure is unsafe. The accurate modeling of the non-Gaussian features produces a significant amplification of the damage mean value and higher variability of the damage distribution.
    publisherAmerican Society of Civil Engineers
    titleDamage Accumulation in Glass Plates
    typeJournal Paper
    journal volume128
    journal issue7
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)0733-9399(2002)128:7(801)
    treeJournal of Engineering Mechanics:;2002:;Volume ( 128 ):;issue: 007
    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