摘要
针对频域疲劳分析方法的计算模型多样且精度不一的问题,以行走半轴时域分析的结果为基准,开展频域疲劳分析方法精度对比研究。首先,获取半轴的载荷信号,并对其进行平稳性、高斯性和带宽检验。其次,对半轴进行静力学分析,得到危险节点应力与扭矩的传递系数。最后,基于弯曲和扭转应力时间历程,开展时频域疲劳对比研究,并引入平均应力和非高斯性修正模型对传统频域方法进行修正。结果表明:修正后的频域方法的准确性显著优于传统频域方法,其中,TB2_(ms+nG)和DK_(ms+nG)的准确性最高;上述两种方法应用于平稳载荷信号时可靠性较高。
The calculation models of frequency domain fatigue analysis method are various and their accuracy is different.In order to solve the above problems,based on the time domain analysis results of the half axle,the accuracy comparison of frequency domain fatigue analysis methods is carried out.Firstly,the load signals of the half axle under different working conditions are obtained,and the stationarity,Gaussianity and bandwidth were investigated to obtain the basic properties of the load signal.Secondly,the static analysis of the half axle was carried out,and the transfer coefficients of stress and torque at the dangerous node of the walking half axle were obtained.Meanwhile,the stress time histories of the dangerous node of the half axle under various working conditions were obtained.Based on the above stress time histories,the comparative study of fatigue life in time-frequency domain was carried out,in which the average stress and non-Gaussian correction model were introduced to modify the traditional frequency domain method.The results showed that the accuracy of the modified frequency domain method was significantly better than that of the traditional frequency domain method.In the modified frequency domain method,TB2_(ms+nG)and DK_(ms+nG) had the highest accuracy.When the above two methods were applied to the stationary load signals,the reliability was high.Nevertheless,when they were applied to the non-stationary load signals,the reliability was low.
作者
付景静
王晨升
才福友
牛文铁
FU JingJing;WANG ChenSheng;CAI FuYou;NIU WenTie(School of Mechanical Engineering,Tianjin University,Tianjin 300350,China)
出处
《机械强度》
CAS
CSCD
北大核心
2022年第1期203-214,共12页
Journal of Mechanical Strength
基金
国家重点研发计划项目(2017YFD0700301)资助~。
关键词
联合收割机行走半轴
时域疲劳分析
频域疲劳分析
平稳性
高斯性
Combine half axle
Time domain fatigue analysis
Frequency domain fatigue analysis
Stationarity
Gaussianity
