DocumentCode :
532257
Title :
A method of solving the non-probabilistic reliability index based on support vector machine
Author :
Zhijie, Han ; Zhangqi, Wang
Author_Institution :
Sch. of Energy Power & Mech. Eng., North China Electr. Power Univ., Baoding, China
Volume :
3
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Since the limit state function of the mechanical structure is an implicit function of the uncertain variables, it is difficult to analyze structure reliability by means of using conventional methods. A method obtained the non-probability reliability index the basis of support vector machines is proposed for solving more complexity or implicitly of the limit state function. The uncertain variables are described by the convex model, and a method to get sample is rationally constructed. A numerical example is given to assess the reliability of structure with a number of uncertain variables and to elaborate the process of structural reliability on support vector machine. The results show that the method of fitting nonlinear implicit limit state function can not only meet the actual requirement, but also easy to calculate. The method provides a new way for further study about the multi-failure mode reliability.
Keywords :
reliability; structural engineering computing; support vector machines; convex model; implicit function; mechanical structure; nonlinear implicit limit state function; nonprobabilistic reliability index; nonprobability reliability index; structural reliability; structure reliability; support vector machines; uncertain variables; Indexes; Convex model; Non-probabilistic Reliability Index; Support Vector Machine; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5620222
Filename :
5620222
Link To Document :
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