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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