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Power-exponent function model for low-cycle fatigue life prediction and its applications-Part II: Life prediction of turbine blades under creep-fatigue interaction

机译:低周疲劳寿命预测的幂指数函数模型及其应用第二部分:蠕变疲劳作用下涡轮叶片的寿命预测

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摘要

This paper is concerned with the applications of the proposed models, namely the modified linear damage summation (MLDS) method and the modified strain range partitioning (MSRP) method described in Part I of the series papers, to life prediction of turbine blades under creep-fatigue interaction. To begin with, a detailed FEM analysis is conducted considering peak loading of thermal load, centrifugal force and airflow force to determine life assessment positions. Secondly, according to the blades rig testing load, a stress-strain response analysis is performed for pure low-cycle fatigue (LCF) and creep-fatigue interaction, in which steady-state temperature field, plastic kinematic hardening and contact between the blade body and hoop segment are taken into consideration to achieve accordance with practical conditions. Finally, based on FEM simulation results, the life of turbine blades is predicted using the five different models for creep-fatigue loading. A minimum safe and conservative life of 1293 h is given by the MLDS method based on power-exponent function model. The predicted lives by the MLDS and MSRP methods show reasonable agreement with the rig testing life, which further illustrates the validity of power-exponent function model and its applications.
机译:本文涉及所提出模型的应用,即系列论文第一部分中描述的改进的线性损伤求和(MLDS)方法和改进的应变范围划分(MSRP)方法在涡轮叶片蠕变寿命预测中的应用。疲劳相互作用。首先,进行详细的有限元分析,考虑热负荷的峰值负荷,离心力和气流力,以确定寿命评估位置。其次,根据叶片架的试验载荷,对纯低周疲劳(LCF)和蠕变-疲劳相互作用进行了应力-应变响应分析,其中稳态温度场,塑性运动硬化和叶片主体之间的接触考虑到箍筋和箍筋段,以符合实际情况。最后,基于有限元模拟结果,使用五个不同的蠕变疲劳载荷模型来预测涡轮机叶片的寿命。基于幂指数函数模型的MLDS方法给出的最小安全和保守寿命为1293小时。 MLDS和MSRP方法的预测寿命与钻机测试寿命显示出合理的一致性,这进一步说明了幂指数函数模型及其应用的有效性。

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