Vibration Fatigue Probabilistic Life Prediction Model and Method for Blade

作     者：Lou Guokang Wen Weidong Wu Fuxian Zhang Hongjian 

作者机构：College of Energy and Power EngineeringNanjing University of Aeronautics and Astronautics 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2018年第35卷第3期

页      面：494-506页

核心收录：

学科分类：082502[工学-航空宇航推进理论与工程] 08[工学] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 

基　　金：supported by the Aviation Science Foundation of China(No.20150252003) 

主　　题：动疲劳 预言 生活 模型 概率 材料性质 空间向量 lif 

摘      要：Vibration fatigue is one of the main failure modes of *** vibration fatigue life of blade is scattered caused by manufacture error,material property dispersion and external excitation randomness.A new vibration fatigue probabilistic life prediction model(VFPLPM)and a prediction method are proposed in this ***,as one-dimensional volumetric method(ODVM)only considers the principle calculation direction,a three-dimensional space vector volumetric method(TSVVM)is proposed to improve fatigue life prediction accuracy for actual threedimensional engineering ***,based on the two volumetric methods(ODVM and TSVVM),the material C-P-S-N fatigue curve model(CFCM)and the maximum entropy quantile function model(MEQFM),VFPLPM is established to predict the vibration fatigue probabilistic life of *** VFPLPM is combined with maximum stress method(MSM),ODVM and TSVVM to estimate vibration fatigue probabilistic life of blade simulator by finite element simulation,and is verified by vibration fatigue *** results show that all of the three methods can predict the vibration fatigue probabilistic life of blade simulator *** &TSVVM method has the highest computational accuracy for considering stress gradient effect not only in the principle calculation direction but also in other space vector directions.