涡轮冷却叶片寿命可靠性分析参数化仿真平台

There are management and parameterization problems in the multiple mode life reliability analysis of complicated structure as turbine cooling film blade. To solve these problems, engineering technologies and simulation platform of multiple mode life reliability analysis in the presence of random uncertainty are created, which contains parameterization of mesh and finite element analysis, multiple mode probability life prediction, as well as the life reliability analysis methods. It is an efficient and automatic tool for the multiple mode life reliability analysis of turbine cooling film blades. The platform is able to do the parameterization of mesh and finite element simulation, so that automatic computation can be done with different inputs. On the basis of current turbine cooling film blade material life test data linear heteroscedasticity regression, homovariance polynomial regression and nonlinear damage accumulation criterion, a probability life prediction model containing temperature term of the low cycle fatigue, high cycle fatigue, creep and coupled multi-modes is proposed. Furthermore, adaptive Kriging surrogate model is implied in the platform to make a global approximation of the finite element simulation and a local approximation of the life failure boundary, the multimode life random distribution characteristics as well as the failure probability of the series system are obtained. As a result, and the platform greatly improves the efficiency of complicated structure multiple mode life reliability analysis. Finally, a test case of turbine cooling film blade life reliability analysis is run in the platform, it is proved that the proposed multiple mode life reliability analysis methods and the platform are well behaved in the application of complicated structure life reliability analysis.