Masters Theses
Abstract
"Existing techniques for reliability analysis are computationally expensive. This thesis presents a new technique that requires significantly less computational effort. This technique relies on the First Order Reliability Method (FORM), most probable point based (MPP)-based importance sampling, and support vector machines (SVM). These methods are used to calculate the probability of failure using a small number of samples. First, the MPP is located, and then samples are generated around this point. These samples are used to approximate the limit-state function in the SVM. The MPP of the approximated function is then shifted to the MPP of the given limit-state function. Finally, the approximated function is evaluated by calculating the probability of failure.
The small sample size required by this method reduces the computational cost for linear as well as nonlinear problems. The results have proved remarkably accurate in comparison with those obtained from Monte Carlo simulation with a large sample size"--Abstract, page iii.
Advisor(s)
Du, Xiaoping
Committee Member(s)
Takai, Shun
Chandrashekhara, K.
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Mechanical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2009
Pagination
ix, 44 pages
Note about bibliography
Includes bibliographical references (pages 41-43).
Rights
© 2009 Venkata Naga Praveen Thadigadapa, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
First-order logic
Reliability (Engineering)
Reliability -- Analysis
Thesis Number
T 9497
Print OCLC #
436233577
Electronic OCLC #
906033328
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.
http://merlin.lib.umsystem.edu/record=b7077218~S5Recommended Citation
Thadigadapa, Venkata Naga Praveen, "Reliability analysis with support vector machines and the first order reliability method" (2009). Masters Theses. 87.
https://scholarsmine.mst.edu/masters_theses/87
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