Uncertainty Propagation Analysis for Turbine Cooling Blade Multidisciplinary Design

Abstract:

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This paper presents an uncertainty propagation analysis method using the Convex Model Theory (CM) for turbine cooling blade multidisciplinary design. Convex Model is used to describe the design variables’ uncertainty, and it’s propagation equation is derived. Monte-Carlo(MC) method and Convex Model Theory (CM) are all employed to calculate target variable’s variation. Result shows that CM method is more time-saving than MC method. First order second moment method is employed to calculate the reliability of target variable’s variation to evaluate the difference of the results of the two methods. As the actual probability density function of design variables is unknown, so reliability analysis considers different probability density functions. Response surface method is used to construct the approximation of the multidisciplinary analysis. Reliability analysis result shows that CM method keeps the same accuracy with MC method.

Info:

Periodical:

Edited by:

Zhenyu Du and Bin Liu

Pages:

789-793

DOI:

10.4028/www.scientific.net/AMM.26-28.789

Citation:

K. H. Yu et al., "Uncertainty Propagation Analysis for Turbine Cooling Blade Multidisciplinary Design", Applied Mechanics and Materials, Vols. 26-28, pp. 789-793, 2010

Online since:

June 2010

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$35.00

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