目前，涡轮冷却叶片等复杂结构的多模式寿命可靠性分析中存在各功能模块的集成与管理不成体系、参数化联合调用技术不完善的工程应用问题。针对这些问题，完善了随机不确定性下涡轮冷却叶片多模式寿命可靠性分析的工程化方法，搭建了多模式寿命可靠性分析的参数化、多软件联合仿真平台，为某型号叶片寿命可靠性分析提供合理的工程化方法及高效便捷的自动化实现工具。主要工作包括：一建立了不确定性环境下含孔、肋及空腔复杂结构网格划分和结构有限元仿真的参数化方法，实现了随机变量不同取值下仿真的自动执行，解决了可靠性理论方法应用至复杂工程结构的瓶颈问题；二在经回归处理的概率寿命曲线中考虑温度插值及多失效模式串联系统，拓展了概率寿命曲线的应用范围，使得所建涡轮叶片寿命可靠性模型更符合实际；三提出了可靠性分析数字模拟过程中嵌入包括有限元结构分析和疲劳寿命极限状态面两方面的双层自适应代理模型方法，该自适应策略可在保证寿命可靠性分析精度的基础上提高效率。通过所建平台在某型号叶片上的算例分析及与蒙特卡洛法参考解的对比，验证了所提多模式系统寿命可靠性分析工程化方法的高效和准确性及仿真平台的实用性。
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.
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