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Calculate wear v.s. curve radius and estimate total wear for a soft bogie design
- In genfile, copy file optif/wear_quasi.optif into optif/wear_quasi_soft.optif
- In genfile, copy file runf/wear_quasi.quasif.tsimf into runf/wear_quasi_soft.quasif
- Open file runf/wear_quasi_soft.quasif and under "Change of vehicle data parameters" set:
coupl p_lin36 kmba_= 0. 0. -(mc+2*mb)*9.81/8
0. 0. 0.
4e6 0. 0. 0. 0. 0.
0. .5e6 0. 0. 0. 0.
0. 0. 1200e3 0. 0. 0.
0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0.
- Execute file optif/wear_quasi_soft.optif
- Present the results in MTABLE:
- Press Help->Examples Html and under MTABLE select file wear.mtablef
- Set IDENT_FILES= id/wear_quasi*.id in order to only select wear calculations
- Run file mtablef/wear.mtablef
- Open resultfile mtabler/wear.mtabler
- Multiply the wear with a curve distribution for the track, in order to estimate the total average wear.
As an example use the following curve distribution:
Curve Ratio of
Radiuses tot.length
---------------------------
300- 400 .012
400- 500 .010
500- 600 .036
600- 700 .031
700- 800 .002
800- 900 .022
900-1000 .010
1000-1200 .027
1200-1400 .028
1400-1600 .019
1600-1800 .013
1800-2000 .013
2000-2500 .029
2500- .748
For the average wear calculations can script genoctave be used.