• DocumentCode
    2561772
  • Title

    Discrete method for structural interval reliability analysis

  • Author

    Yang, Jing Bo ; Sun, Hai Jong

  • Author_Institution
    Yantai Vocational Inst., Coll. of Opening Educ., Yantai
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    2441
  • Lastpage
    2446
  • Abstract
    A stress-strength interference model in its interval form, with uncertain quantities of structures described by interval numbers, is used for reliability analysis. Such structural reliability analysis problem is called structural interval reliability analysis. A discrete possibility degree method for structural interval reliability is proposed. By comparing equally-spaced-points of structural interval stress value and structural interval strength value, a partition for comparison relations (big, equal or small) between interval stress and interval strength is built. Based on this partition, new concepts for interval reliability analysis are defined, such as structural safety possibility degree and structural failure possibility degree, etc. By one simple example, the feasibility and effectiveness of discrete possibility degree method for structural interval reliability are demonstrated.
  • Keywords
    construction components; durability; failure analysis; mechanical strength; reliability; statistical analysis; stress analysis; structural engineering; discrete possibility degree method; stress-strength interference model; structural failure possibility degree; structural interval reliability analysis; structural interval strength value; structural interval stress value; structural safety possibility degree; Failure analysis; Interference; Safety; Stress; Equally-spaced-points; Failure possibility degree; Interval analysis; Interval stress and interval strength interference model; Safety possibility degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597763
  • Filename
    4597763