YaBeSH Engineering and Technology Library

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

    Reliability-Based Design Snow Loads. I: Site-Specific Probability Models for Ground Snow Loads

    Source: Journal of Structural Engineering:;2017:;Volume ( 143 ):;issue: 007
    Author:
    D. Jared DeBock
    ,
    Abbie B. Liel
    ,
    James R. Harris
    ,
    Bruce R. Ellingwood
    ,
    Jeannette M. Torrents
    DOI: 10.1061/(ASCE)ST.1943-541X.0001731
    Publisher: American Society of Civil Engineers
    Abstract: This paper describes a new method for fitting probability distributions for modeling annual maximum ground snow loads for use in structural design. These probability models are intended for use in reliability assessments to determine reliability-targeted ground snow loads, as described in the companion paper. The proposed method emphasizes the upper tail of the distributions, because the upper tail is most critical for the reliability assessment and for determination of design loads. A combination of site-specific and region of influence approaches results in annual maximum snow load distributions whose magnitudes are consistent with historical data observed at the site of interest but with upper tail shapes that are informed by historical snow records at a number of similar sites. Clusters of sites with similar snow accumulation patterns are utilized to improve the definition of the snow load distribution at sites in the cluster.
    • Download: (1.162Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Reliability-Based Design Snow Loads. I: Site-Specific Probability Models for Ground Snow Loads

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4242691
    Collections
    • Journal of Structural Engineering

    Show full item record

    contributor authorD. Jared DeBock
    contributor authorAbbie B. Liel
    contributor authorJames R. Harris
    contributor authorBruce R. Ellingwood
    contributor authorJeannette M. Torrents
    date accessioned2017-12-16T09:24:45Z
    date available2017-12-16T09:24:45Z
    date issued2017
    identifier other%28ASCE%29ST.1943-541X.0001731.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242691
    description abstractThis paper describes a new method for fitting probability distributions for modeling annual maximum ground snow loads for use in structural design. These probability models are intended for use in reliability assessments to determine reliability-targeted ground snow loads, as described in the companion paper. The proposed method emphasizes the upper tail of the distributions, because the upper tail is most critical for the reliability assessment and for determination of design loads. A combination of site-specific and region of influence approaches results in annual maximum snow load distributions whose magnitudes are consistent with historical data observed at the site of interest but with upper tail shapes that are informed by historical snow records at a number of similar sites. Clusters of sites with similar snow accumulation patterns are utilized to improve the definition of the snow load distribution at sites in the cluster.
    publisherAmerican Society of Civil Engineers
    titleReliability-Based Design Snow Loads. I: Site-Specific Probability Models for Ground Snow Loads
    typeJournal Paper
    journal volume143
    journal issue7
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)ST.1943-541X.0001731
    treeJournal of Structural Engineering:;2017:;Volume ( 143 ):;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