factors and the uncertain factors. The orthogonal
experiment method was used for analyzing the
uncertain factors. So the three uncertain factors are
studied and the levels of each factor are determined
for orthogonal experiment.
MBS model was used to simulate the railroad
freight car dynamic performance. The model was
validated by simulation and field test result
comparison. The operating condition are include
tangent track, R350m and R600m curves, they all
showed that the simulation model has a good
accuracy.
The worst operating conditions for Grade I
railroad and Grade III railroad were derived from
objective analysis. The variance analysis showed the
factors’ influence degree. Factor B is a very
significant factor for derailment coefficient, factor A
and factor C only have little effect on derailment
coefficient. But the three factors are very significant
factors for wheel unloading rate.
Based on the worst operating conditions and the
limit of derailment coefficient and wheel unloading
rate in China, we can simulate the different height of
combined center of gravity and get the permitted
height of combined center of gravity for railroad
cars can be increased to 2500mm in China.
Further work is underway to extend the MBS
modelling approach to deal with train simulation and
the braking and accelerating during operating. The
field test will be conducted to confirm the permitted
height of combined center of gravity for railroad
cars at last.
ACKNOWLEDGMENTS
This research was financially supported by the
National Key Research and Development Program
of China (Project No. 2018YFB1201402).
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