Data-driven engineering material ultra-high cycle fatigue life prediction method
A technology for fatigue life prediction and engineering materials, applied in nuclear methods, chemical data mining, computer material science, etc., to achieve wide application, low cost, and high efficiency
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[0029] In the present invention, 25Cr2Ni2MoV steel, Ti6Al4V alloy and AlMgSi alloy welded joints are taken as examples, and the ultra-high cycle fatigue life prediction is carried out by means of a data-driven method, such as Figure 1-Figure 4 , the specific implementation steps are as follows:
[0030] Step S1: collect the material information of the welded structure and the ultra-high cycle fatigue life data as the test set and the training set respectively, and perform ten-fold cross-validation on them; One part is used as training data, one part is used as test data, and the test is carried out, and the R obtained by comparing the test set obtained by 10 experiments with the training set 2 As a metric for evaluating data-driven performance. Each fatigue life data set includes the geometric characteristics of material defects, fatigue test conditions parameters, corresponding fatigue life and the intermediate calculation value Z based on the physical model p ;
[0031] ...
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Abstract
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