燃气轮机透平叶片低周疲劳寿命及可靠性分析  

Analysis of gas turbine blade low-cycle fatigue life and reliability

作　　者：焦继翔 李金星 张荻[1] 谢永慧[1] JIAO Jixiang;LI Jinxing;ZHANG Di;XIE Yonghui(School of Energy and Power Engineering,Xi’an Jiaotong University,Xi’an 710049,China)

机构地区：[1]西安交通大学能源与动力工程学院,西安710049

出　　处：《燃气涡轮试验与研究》2024年第6期9-16,共8页Gas Turbine Experiment and Research

基　　金：航空发动机及燃气轮机基础研究项目(J2019-IV-0022-0090);中央高校基本科研业务费专项资金(xtr072021002)。

摘　　要：为保证燃气轮机安全可靠地运行,对透平叶片进行了分析,获得了叶片在额定工况下的应力及应变分布;采用深度全连接神经网络,搭建了高精度代理模型,评估了多源不确定性因素影响下的燃气轮机透平叶片低周疲劳寿命及可靠性。结果表明:叶片的最大应力为1024.91 MPa,位于叶片叶根平台吸力面侧中部;材料和加工随机因素下的透平叶片寿命均值为1.237×10^(4)周,工况随机因素下的透平叶片寿命均值为1.146×10^(4)周;叶片设计寿命取为8.0×10^(3)周时,透平叶片在材料和加工随机因素影响下的可靠度为0.9452,在工况随机因素下的可靠度为0.9368。研究结果表明了所提供方法在叶片可靠性分析中的有效性,为燃气轮机透平叶片设计优化、性能提升以及寿命管理提供了参考数据。To ensure the safe and reliable operation of gas turbines,an analysis was conducted on a specific turbine blade to obtain the stress and strain distribution under rated conditions.A high-precision surrogate model was built using a deep fully-connected neural network to assess the impact of multiple sources of uncertainty on the low-cycle fatigue life and reliability of the turbine blades.The results indicate that the maximum stress in the turbine blade is 1024.91 MPa,located in the middle of the suction side of the blade root platform.The mean life of the blade under material and manufacturing stochastic factors is 1.237×10^(4) cycles,while under operational stochastic factors,it is 1.146×10^(4) cycles.The design life of the blade was set at 8.0×10^(3) cycles,with a reliability of 0.9452 under material and manufacturing influences,and 0.9368 under operational influences.The findings demonstrate the effectiveness of the proposed method in the reliability analysis of turbine blades,providing reference data for the design optimization,performance enhancement,and life management of gas turbine turbine blades.

关 键 词：燃气轮机 叶片 低周疲劳寿命 可靠性 深度学习神经网络 

分 类 号：TK05[动力工程及工程热物理]