In order to modify the rail pre-grinding profile smoothly, non-uniform rational B-spline (NURBS)
curve with weight factors is used to establish a parameterized model of the profile. A wheel-rail contact stochastic
finite element model (FEM) is constructed by the Latin hypercube sampling method and 3D elasto-plastic FEM,
in which the wheelset’s lateral displacement quantity is regarded as a random variable. The maximum values of
nodal accumulated contact stress (NACS) and nodal mean contact stress (NMCS) in different pre-grinding profiles
with differential weight factors are calculated and taken as the training samples to establish two Kriging models.
A multi-objective optimization model of pre-grinding profile is established, in which the objective functions are
the NACS and NMCS Kriging models. The optimum weight factors are sought using a non-dominated sorting
genetic algorithm II (NSGA-II), and the corresponding optimum pre-grinding profile is obtained. The contact
stress calculation before and after optimization indicates that the maximum values of NACS and NMCS decline
significantly.
ZENG Wei (曾威), QIU Wensheng (丘文生), REN Tao (任涛), SUN Wen (孙文), YANG Yue (杨岳)
. Multi-Objective Optimization of Rail Pre-Grinding Profile in Straight Line for High Speed Railway[J]. Journal of Shanghai Jiaotong University(Science), 2018
, 23(4)
: 527
.
DOI: 10.1007/s12204-018-1974-1
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