Uncertainty Propagation Analysis for Turbine Cooling Blade Multidisciplinary Design
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 its propagation equation is derived. Monte-Carlo(MC) method and Convex Model Theory (CM) are all employed to calculate target variables 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 variables 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.
turbine cooling blade convex model uncertainty multidisciplinary design reliability
Kuahai Yu Jun Ni Xi Yang Zhufeng Yue
School of Architecture Engineering, Henan University of Science and Technology,Luoyang 471003, China 60th Rearch Institute General Staff PLA,Nanjing,210016,China School Of Material, Northwestern Polytechnical University, Xian 710072 China School Of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xia
国际会议
2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)
洛阳
英文
789-793
2010-09-04（万方平台首次上网日期，不代表论文的发表时间）