Spectral Optimization of the Suspension System of High-speed Trains

D. Younesian et al. 2009. Int. J. Vehicle Structures & Systems, 1(4), 98-103
one of disadvantages of viscose dampers which can
dramatically increase the transmitted accelerations.
Css and Cps (Ns/m)
220000
210000
200000
190000
180000
170000
160000
150000
140000
130000
track1_cps
track2_cps
track1_css
track2_css
120000
15 20 25 30 35 40 45 50 55
Speed (m/s)
Fig. 12: Effect of the track quality on optimal values of damping
4. Conclusions
An optimal suspension system for high-speed passenger
trains was proposed in this paper. Two main objective
functions of the ride comfort and the fatigue life of the
suspension system were simultaneously taken into
account. A multi-variable optimization was performed
using the Genetic Algorithm. Four design parameters
including the damping properties of the secondary and
primary suspension as well as the wire diameter of their
coil springs were obtained for a real high-speed wagon.
It was found that optimal damping values for the primary
and secondary suspensions are both decreasing functions
of the operational speeds. For eccentricity values lower
than 4 meters one can assume that eccentricity has no
significant effect on the optimal values of damping. It
was also found that optimal value of the primary
suspension damping decreases when the track quality
becomes worse and in contrary, optimal values of the
secondary suspension damping increases.
Dependency of the optimal diameters on the
operational speed is much lower than optimal damping
values. It was also observed that the optimal value of the
primary suspension coil spring diameter is generally
larger than secondary suspension in the whole speed
range. Dependency of the secondary suspension optimal
stiffness on the operational speed is lower than that of
primary suspension system. Validity of the optimization
was verified using numerical simulations both in
frequency and time domains. It was proved that any
deviations with respect to optimal value lead to
significant deviations with respect to the optimal
situation.
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EDITORIAL NOTES:
Edited paper from 2 nd Int. Conf. on Recent Advances in
Railway Engineering, 27-28 September 2009, Tehran, Iran.
GUEST EDITOR: Prof. Javad M. Sadeghi, School of Railway
Engineering, Iran University of Science and Technology,
Farjam St, Tehran 16846-13114, Iran.