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
Link To Document