基于多指标的钢轨打磨目标廓形设计

Design of Rail Grinding Profile Based on Multiple Indexes

摘要:

提出了一种基于多维度指标综合最优的钢轨打磨目标廓形设计方法，该方法通过对车辆稳定性、曲线导向性、轮轨接触特性曲线平滑性和轮轨接触点均布性等4个指标进行综合考虑，基于轮轨接触特性的逆向求解方法，实现轮轨接触特性曲线的自动优化和钢轨打磨目标廓形的计算机智能化设计。太原铁路局北同蒲线打磨应用结果表明，打磨后钢轨光带位置和实测车轮在钢轨上的接触位置分布更为合理，轨面疲劳伤损和波磨等病害得到了有效控制，同时钢轨磨耗速率下降20%~45%，证明了该设计方法的有效性。

Abstract:

An optimal design method of rail grinding profile based on multi-dimensional index is proposed. The method comprehensively considers four indexes， including vehicle stability， curve guidance， smoothness of contact characteristic function and contact uniform distribution， and reversely solves the problem based on wheel rail contact characteristic function. It can realize the automatic optimization of wheel-rail contact characteristic function and the computer intelligent design of rail grinding target profile. Taking the application of the design results in the grinding of Datong-Fenglingdu railway line of Taiyuan Railway Bureau as an example， the implementation effect was tracked and observed. The results show that the rail light band position and the measured wheel rail contact position after grinding is more reasonable， the rail surface fatigue damage and corrugation are effectively controlled， and the rail wear rate is reduced by 20% to 45%， which proves that the design method is effective.