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
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