摘要
针对机械构件在随机循环载荷作用下的疲劳寿命预测问题,提出一种改进的疲劳预测方法:连续型Miner法。将随机载荷概率加权法、线性Miner累积损伤法则及模糊理论相结合,使之能够有效地处理随机循环载荷作用下的疲劳寿命预测问题,并用机械构件随机循环载荷作用下的疲劳寿命试验数据对连续型Miner法进行算例验证。结果表明:连续型Miner法与基于模糊理论的的离散型Miner法相比,误差大为减小,有效地提高了疲劳寿命预测精度,具有较强的工程实用性。
To solve the problem of fatigue life of the mechanical parts under the random cyclic load, A continuous miner method based on Fuzzy theory is put forward. Combining stochastic load probability weighting, linear miner cumulative damage rule and fuzzy theory, the method is able to solve fatigue life estimation of mechanical parts under the random cyclic load. The method is verified by experimental data. The result shows that this method can effectively improve the accuracy of fatigue life estimation compared to discrete miner method based on Fuzzy theory. The method has high precision and good engineering practicability.
出处
《计算机仿真》
北大核心
2017年第1期414-417,共4页
Computer Simulation
基金
湖南省自然科学基金(2015JJ2029)
教育部长江学者与创新团队发展计划资助项目(531105050037)
关键词
疲劳寿命
随机循环载荷
隶属函数
模糊理论
Fatigue life
Random cyclic load
Membership function
Fuzzy theory
