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Probabilistic and Nonprobabilistic Sensitivity Analyses of Uncertain Parameters
Joint Authors
Zhang, Xiao-Hua
Zhang, Bao
Fang, Sheng-En
Zhang, Qiu-Hu
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Parameter sensitivity analyses have been widely applied to industrial problems for evaluating parameter significance, effects on responses, uncertainty influence, and so forth.
In the interest of simple implementation and computational efficiency, this study has developed two sensitivity analysis methods corresponding to the situations with or without sufficient probability information.
The probabilistic method is established with the aid of the stochastic response surface and the mathematical derivation proves that the coefficients of first-order items embody the parameter main effects on the response.
Simultaneously, a nonprobabilistic interval analysis based method is brought forward for the circumstance when the parameter probability distributions are unknown.
The two methods have been verified against a numerical beam example with their accuracy compared to that of a traditional variance-based method.
The analysis results have demonstrated the reliability and accuracy of the developed methods.
And their suitability for different situations has also been discussed.
American Psychological Association (APA)
Fang, Sheng-En& Zhang, Qiu-Hu& Zhang, Bao& Zhang, Xiao-Hua. 2014. Probabilistic and Nonprobabilistic Sensitivity Analyses of Uncertain Parameters. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-456143
Modern Language Association (MLA)
Fang, Sheng-En…[et al.]. Probabilistic and Nonprobabilistic Sensitivity Analyses of Uncertain Parameters. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-456143
American Medical Association (AMA)
Fang, Sheng-En& Zhang, Qiu-Hu& Zhang, Bao& Zhang, Xiao-Hua. Probabilistic and Nonprobabilistic Sensitivity Analyses of Uncertain Parameters. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-456143
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456143