Multi-objective optimization of the asymmetric-grinding rail profile for sharply curved tracks on metro line

IF 2.8 3区 工程技术 Q2 MECHANICS
Fei Yang , Liang Gao
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引用次数: 0

Abstract

Rail grinding is an effective strategy to improve the curve negotiation performance of metro vehicles. This paper develops a multi-objective optimization model for the design of the asymmetric-grinding rail profiles. The root-mean-square value of the derailment coefficient and the mean value of the rail wear of high rail are taken as two optimization objectives. A surrogate model, established using the results of the vehicle-track coupled dynamics simulations and non-uniform rail wear predictions, is used to calculate the optimization objectives. The multi-objective particle swarm optimization (MOPSO) model is applied to solve the multi-objective optimization model. The asymmetric-grinding rail profile of a sharp metro line is optimized by using the developed model, and the Pareto front of the multi-objective optimization problem is obtained. The performance of three typical asymmetric-grinding rail profiles in vehicle dynamics and rail wear rate is analyzed by comparing them with those of the original rail profile. The simulation results show that the optimized asymmetric grinding of rail profiles achieves the optimization objectives of reducing both the derailment coefficient and the mean value of rail wear on high rail. Due to the conflicting relationship between the two objective functions, an optimized asymmetric-grinding of rail profiles in the Pareto front that could balance both the wheel-rail safety and rail wear is chosen as the best rail grinding strategy.
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来源期刊
CiteScore
5.50
自引率
9.40%
发文量
192
审稿时长
67 days
期刊介绍: The International Journal of Non-Linear Mechanics provides a specific medium for dissemination of high-quality research results in the various areas of theoretical, applied, and experimental mechanics of solids, fluids, structures, and systems where the phenomena are inherently non-linear. The journal brings together original results in non-linear problems in elasticity, plasticity, dynamics, vibrations, wave-propagation, rheology, fluid-structure interaction systems, stability, biomechanics, micro- and nano-structures, materials, metamaterials, and in other diverse areas. Papers may be analytical, computational or experimental in nature. Treatments of non-linear differential equations wherein solutions and properties of solutions are emphasized but physical aspects are not adequately relevant, will not be considered for possible publication. Both deterministic and stochastic approaches are fostered. Contributions pertaining to both established and emerging fields are encouraged.
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