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.
magnesium alloyordinary least squaresmall sampleprinciple of sample information aggrega-tionfatigue evaluation model
维普
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