405 Group

Allenstown Elementary School, United States

405 Group

Allenstown Elementary School, United States
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Fei C.,Beihang University | Fei C.,405 Group | Bai G.,Beihang University | Bai G.,405 Group | And 2 more authors.
Journal of Aerospace Information Systems | Year: 2013

The article examines extremum response surface method for casing radial deformation probabilistic analysis. Turbine casing radial deformation seriously influences the performance of the aero-engine blade-tip clearance control. One viable alternative to deterministic analysis is probabilistic analysis, which does consider the randomness of factors to describe the casing deformation with acceptable accuracy. The probabilistic analysis method has been widely applied in many fields. The inner surface of the FEM was contacted with gas, and the outside surface was exposed to the atmosphere. Considering the dynamic gas temperature and the nonlinearities of the expansion coefficient, thermal conductivity, and heat transfer coefficient, the FEM analysis was practically performed to investigate the casing radial deformation by the Ansys Parameter Design Language under the Ansys environment and thermal structure analysis method.


Fei C.,Beihang University | Fei C.,405 Group | Bai G.,Beihang University | Bai G.,405 Group | And 2 more authors.
Journal of Aerospace Computing, Information and Communication | Year: 2013

The extremum response surface method (ERSM), which shows high-computational efficiency in the reliability analysis of a flexible robot manipulator and presents a promising option for nonlinear and dynamic probabilistic analysis of complex structures, was proposed. The study introduces and establishes the basic principles and the mathematical model of the ERSM, and it applies the ERSM in the probabilistic analysis of the casing radial deformation fully considering the impacts of the material nonlinearity and heat load dynamic. It also accurately acquires the distribution characteristics of the input-output variables and the most important design factors impacting the dynamic radial deformation. Through the comparisons of methods the results demonstrate that the ERSM may greatly save computational time and improve analysis efficiency while keeping a highly acceptable calculating precision in the nonlinear and dynamic probabilistic analysis of the casing radial deformation.

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