Sensitivity analysis with aleatory and epistemic uncertainties

Author

Srinivas Prayaga

Keywords and Phrases

First Order Reliability Method (FORM)

Abstract

"Uncertainty exists in any engineering applications. Uncertainty is usually classified into two types - Aleatory and Epistemic. Aleatory uncertainty describes the inherent variation associated with a physical system or environment while epistemic uncertainty is derived from some level of ignorance or incomplete information about a physical system or environment. Aleatory uncertainty associated with parameters is usually modeled by probability theory and has been widely researched and applied ;by industry, academia and government. The study of epistemic uncertainty is relatively new. The objective of this research is to investigate sensitivity analysis when both types of uncertainties are involved"--Abstract, page iii.

Advisor(s)

Du, Xiaoping

Committee Member(s)

Stone, Robert B.
Chandrashekhara, K.

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering

Sponsor(s)

National Science Foundation (U.S.)
University of Missouri--Rolla. Department of Mechanical and Aerospace Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2006

Pagination

ix, 84 pages

Rights

© 2006 Srinivas Prayaga, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Subject Headings

Epistemics
First-order logic
Sensitivity theory (Mathematics)
Uncertainty

Thesis Number

T 9121

Print OCLC #

131143691

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

Recommended Citation

Prayaga, Srinivas, "Sensitivity analysis with aleatory and epistemic uncertainties" (2006). Masters Theses. 5911.
https://scholarsmine.mst.edu/masters_theses/5911