UM Loco  /  Wear of rail profiles

Wear of rail profiles

istory Rail Profile Wear Evolution tool: predicting wear of railway rail profiles

 

Rail Profile Wear Evolution tool is intended for prediction of railway rail profile evolution due to wear. This tool is an add-on for the UM Experiments  module, which has been supplemented by the concept of evolution. Evolution refers to a series of multivariate calculations of the same structure which are the wear iterations that differ from each other only in rail profiles. The rail profiles do not change during the iteration. The profiles are changed after the end of the iteration, taking into account the weight coefficients of numerical experiments and the scale factor. The multivariate calculation should be a representative set of loads on the considered track section. An example of the structure of multivariate calculation for predicting the wear of rail profiles is shown in Figure 1.

 

An example of the structure of multivariate calculation for predicting the wear of rail profiles. Click to view enlarged image.

Figure 1. An example of the structure of multivariate calculation for predicting the wear of rail profiles

 

istory General features 

 

Rail Profile Wear Evolution tool has the following main features:

  • predicting wear of railway rail profiles;
  • saving profiles and wear depth after each iteration;
  • calculating rail wear control parameters;
  • saving list of variables for each wear iteration;
  • creating source data sets for the simulation of accumulation of rolling contact fatigue damage in rails in UM RCF Rail module.

 

istory Sample 

 

As an example let us consider the wear of rail profiles R65 in a curved track section with radius R = 578 m. Percentages of freight cars and locomotives:

  • loaded freight cars 47%;
  • empty freight cars 47%;
  • locomotives 6%.

Average running speed is 60 km/h. Locomotives use flange lubrication. The structure of multivariate calculation is shown in Figure 2.

 The structure of multivariate calculation. Click to view enlarged image.

Figure 2. The structure of multivariate calculation

 

The high (outside) rail profile in new state and after a tonnage of 100 Mt. Click to view enlarged image.

Figure 3. The high (outside) rail profile in new state and after a tonnage of 100 Mt

 

 Evolution of the wear control parameters for the high (outside) rail. Click to view enlarged image.

Figure 4. Evolution of the wear control parameters for the high (outside) rail

 

istory User manual / Presentation

 

 The user manual and presentation for this tool are available on the download page.