• DocumentCode
    2991343
  • Title

    Research on Industrial Building´s Reliability Assessment Based on Projection Pursuit Model

  • Author

    Lei, Zhang ; Liu, Jie

  • Author_Institution
    Sch. of Archit. & Civil Eng., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
  • fYear
    2011
  • fDate
    3-4 Dec. 2011
  • Firstpage
    1345
  • Lastpage
    1349
  • Abstract
    Assessment industrial building´s reliability accurately is important in working of industrial building´s alteration, reused and daily management. In the analysis of factors that influenced industrial building´s reliability, 11 assessment factors on three aspects of load-bearing structural system, structural arrangement and the support system, and maintenance structure system are selected as the assessment index system. Then a industrial building´s reliability model is presented based on projection pursuit classification technique. The optimal projection direction is obtained by using composite simplex method. According to the projection value to asses the industrial building´s reliability. This approach has advantages of robust, accuracy and objective. It provides a new thinking in assessing the industrial building´s reliability.
  • Keywords
    maintenance engineering; reliability; structural engineering; assessment factors; assessment index system; composite simplex method; daily management; industrial building alteration; industrial building reliability assessment; industrial building reliability model; load-bearing structural system; maintenance structure system; optimal projection direction; projection pursuit classification technique; projection pursuit model; projection value; structural arrangement; support system; Buildings; Educational institutions; Indexes; Reliability theory; Safety; Steel; composite simplex method Introduction; industrial building; projection pursuit classification technique; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
  • Conference_Location
    Hainan
  • Print_ISBN
    978-1-4577-2008-6
  • Type

    conf

  • DOI
    10.1109/CIS.2011.299
  • Filename
    6128340