• DocumentCode
    506926
  • Title

    A Model for Predicting Remaining Service Life of Existing Structures

  • Author

    Zhong, Wei-Qiu ; Zhang, Zhi-Wei

  • Author_Institution
    Sch. of Civil & Hydraulic Eng., Dalian Univ. of Technol., Dalian, China
  • Volume
    3
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    17
  • Lastpage
    21
  • Abstract
    Service life prediction is an important aspect of structural safety evaluation. Based on periodical or non-periodical testing results of existing structures, some comprehensive evaluation indices of time series can be obtained by reliability assessment or other evaluation methods. For the problem of remaining service life prediction, existing structures can be regarded as grey systems. Combined with periodical and non-periodical testing results of existing structures, grey system prediction method is applied to predict the tendency of comprehensive evaluation indices of time series and further predict the remaining service life of existing structures in the present paper. The comprehensive evaluation index of existing structures can be obtained by reliability assessment or other evaluation methods. In the present paper, a structural damage index is proposed which can be obtained by comprehensive evaluation. Two numerical examples are given to show the procedure of the model.
  • Keywords
    grey systems; reliability; remaining life assessment; safety; structural engineering; time series; comprehensive evaluation index; grey system prediction; nonperiodical testing; reliability assessment; service life prediction; structural damage index; structural safety evaluation; time series; Costs; Electronic mail; Fuzzy systems; Knowledge engineering; Life testing; Prediction methods; Predictive models; Reliability engineering; Safety; System testing; existing structures; grey system; prediction; service life;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.477
  • Filename
    5358884