【摘要】 为探究6编组铁水列车通过“S”形小半径曲线时的运行安全性，文章基于Simpack软件建立了包含1节机车和6节铁水罐车的编组列车动力学模型。文章对比分析了不同轨道参数（轨道不平顺、曲线半径、曲线超高、夹直线长度、轨距加宽）和运行速度对铁水列车通过“S”形小半径曲线时的脱轨系数和轮重减载率影响规律，并采用最优拉丁超立方采样方法对主要影响因素（轨道不平顺性系数、曲线半径、曲线超高、运行速度）进行随机采样，基于响应面法构建了运行安全性评价指标与各个参数之间的映射关系，最后利用梯度算法对铁水列车曲线通过性能影响因素进行了敏感性分析。结果表明，在26种不同运行工况下，6节铁水罐车的脱轨系数与轮重减载率变化趋势一致，第1节车的最大脱轨系数值最显著；轨道不平顺对列车曲线运行安全性影响最大，其次是曲线半径和曲线超高，运行速度影响较小。更多还原

【Abstract】 This paper investigates the operational safety of 6-car hot metal trains negotiating S-shaped small-radius curves. Based on Simpack software, a dynamic model was established to represent a train formation consisting of 1 locomotive and 6 hot metal cars.Comparative analyses were conducted to examine the influence of track parameters, including track irregularities, curve radii, curve elevations, intermediate straight line lengths, and gauge widening, as well as running speeds on the derailment coefficient and wheel load reduction rate of hot metal trains negotiating S-shaped small-radius curves. The optimal Latin hypercube sampling(OLHS) method was employed to randomly sample the main influencing factors: track irregularities, curve radii, curve elevations, and running speeds. Based on the response surface method, relationships were mapped between operational safety evaluation indexes and each parameter. A sensitivity analysis of factors affecting the performance of hot metal trains negotiating curves was carried out by using the gradient algorithm.The results show that, under 26 different operating conditions, the derailment coefficient of the 6 hot metal cars exhibits a consistent trend with the wheel load reduction rate, with the maximum derailment coefficient observed for the first car being most significant. Track irregularities have the greatest influence on the safety of train curve operation, followed by curve radii and curve superelevations, while running speeds exhibit little influence.更多还原