Based on the fatigue test data of magnesium alloy welded joints under small sample conditions,a staged information aggregation method is proposed based on the principle of sample information aggregation,and a new fatigue life prediction model is proposed combined with the ordinary least square.Firstly,the ca-pacity of the data samples is enlarged by using the principle of sample information aggregation,and its distri-bution characteristics are counted.Then,relying on magnesium alloys applied to rail vehicles,high-cycle fa-tigue tests are conducted to obtain a series of stress range-life(S-N)test data.Finally,the S-N curves at different survival rates were obtained by fitting the experiment data through sample information aggregation be-fore and after improvement combined with the ordinary least square.After comparing the results,we found that the fatigue life prediction model obtained by the improved method is a better fit for the test data and has higher stability and accuracy.
关键词
镁合金/最小二乘法/小子样/样本信息聚集原理/疲劳评估模型
Key words
magnesium alloy/ordinary least square/small sample/principle of sample information aggrega-tion/fatigue evaluation model
维普
万方数据