Probabilistic High Cycle Fatigue Analysis of Turbine Engine Components

M. Cesare, R. Sues
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Abstract

This paper presents the three step approach to computing the probability of high cycle fatigue in turbine engine components that has been implemented in the ProFES probabilistic finite element software. The first step is to develop a probabilistic Campbell Diagram for mode interaction screening. The probabilistic diagram is developed considering uncertainties in material properties, boundary conditions, geometry, and operating conditions. This approach is an improvement over the deterministic approach as the closeness of a mode to an operating frequency can be measured in a probabilistic sense and gives engineers the capability to answer questions of the type, “What is the probability that modes interact within 5Hz over the lifetime of the engine.” The second step is to perform a probabilistic dynamic analysis. This step is done for interactions that are deemed critical from the step one analysis. The actual structural response is determined and the probability of exceeding a critical level is determined. The third step applies a cumulative damage model to the stress distributions from step two to find the fatigue failure probability. This step is applied for modes that are found to be critical in the step two analysis. The complete process is automated using the ProFES probabilistic finite element software which allows pre and post processing of the FEM model to be integrated into one probabilistic analysis.
涡轮发动机部件的概率高周疲劳分析
本文介绍了在ProFES概率有限元软件中实现的涡轮发动机部件高周疲劳概率计算的三步法。第一步是为模式相互作用筛选开发一个概率坎贝尔图。概率图的发展考虑了材料性质、边界条件、几何和操作条件的不确定性。这种方法是对确定性方法的改进,因为模态与工作频率的接近程度可以在概率意义上测量,并使工程师能够回答诸如“在发动机的生命周期内,模态在5Hz范围内相互作用的概率是多少”之类的问题。第二步是执行概率动态分析。对于从第一步分析中被认为是关键的交互,执行此步骤。确定了结构的实际响应,并确定了超过临界水平的概率。第三步将累积损伤模型应用于第二步的应力分布,求出疲劳破坏概率。此步骤应用于在步骤2分析中发现的关键模式。整个过程使用ProFES概率有限元软件实现自动化,该软件允许将有限元模型的预处理和后处理集成到一个概率分析中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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