Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks
Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks
复制标题
涡轮叶盘疲劳可靠性评估的计算实验方法
DOI：
10.1016/j.ijmecsci.2018.04.050
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发表时间：
2018-07-01
影响因子：
7.3
通讯作者：
Zhang, Xian-Cheng
中科院分区：
文献类型：
--
作者：
Zhu, Shun-Peng;Liu, Qiang;Zhang, Xian-Cheng
在本研究中，开发了用于涡轮叶片盘疲劳可靠性评估的计算实验框架。在该框架内，超速测试创新地与随机有限元（FE）分析相结合，以量化实验数据、材料特性和载荷的不确定性。同时，基于概率S-N曲线和随机有限元模拟与采样技术相结合，详细阐述了两种方案。随机有限元模拟将 Chaboche 本构模型与 Fatemi-Socie 准则相结合，用于疲劳行为建模和寿命预测。此外，还对增加阶跃应力过载的全尺寸叶片盘试验进行了实验变形和数值有限元分析。进行可靠性敏感性分析，为叶盘的疲劳设计提供随机变量的重要性排序。结果表明，基于随机有限元分析的方案比基于概率 S-N 曲线的方案提供了更保守的预测。
In the present study, a computational-experimental framework is developed for fatigue reliability assessment of turbine bladed disks. Within the framework, the overspeed testing is innovatively combined with stochastic finite element (FE) analysis for quantifying uncertainties in the experimental data, material properties and loads. Meanwhile, two schemes are elaborated based on probabilistic S-N curves and stochastic FE simulation coupling with sampling technique. The stochastic FE simulation incorporates the Chaboche constitutive model with Fatemi-Socie criterion for fatigue behavior modeling and life prediction. Moreover, experimental deformation and numerical FE analysis are conducted with regard to the full-scale bladed disk test with increased step-stress overloading. Reliability sensitivity analysis is performed to provide an importance ranking of random variables for fatigue design of the bladed disk. Results indicate that stochastic FE analysis-based scheme provides more conservative predictions than the probabilistic S-N curves-based one.