Prediction for Track Vertical Profile Irregularity Index Structure of Shenmu-Shuozhou Railway

摘要

The research on the variation law of track vertical profile irregularity index structure plays a guiding role in the rational compilation of the tamping operation plan and the scientific evaluation of tamping operation quality. This paper presented a modeling method for predicting the variation law of track vertical profile irregularity index structure based on the grey compositional data modeling theory. In order to verify the effectiveness and reliability of the modeling method, a total of 7 times track inspection car historical data concerning four consecutive track segments (K58+600 to K59+200) of Shenmu-Shuozhou railway up line between two tamping operations were used, and the results showed that these models had good fitting and predicting effects on the track vertical profile irregularity index structure.