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