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Prediction of displacement induced by tilting trains running on ballasted tracks through measurement of track impact factors

机译:通过测量轨道碰撞因子预测在压载轨道上行驶的倾斜列车引起的位移

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In the track design and behavior prediction, the variable contribution of wheel load was evaluated by considering the design load for the tracks. Further, the track impact factor was used to calculate the dynamic wheel load as a single value, which was chosen accord ing to the rail type (i.e., continuous welded rail or joint rail) and the design speed but did not take into consideration the track conditions (i.e., the ballast condition good or bad), train type (i.e., tilting train and EMU), and track components (i.e., sleeper type and fastening type). In this study, the measured track impact factor was applied to the time his tory function of the FE analysis in order to predict the displacement of ballasted tracks under real conditions, which included curved and the deteriorated tracks, thus increasing the train speed by approximately 20-30% of the existing train speed. Therefore, the dynamic wheel load and the rail and sleeper displacement were measured for two different trains running on four conventional curved track sections with two different sleeper types. The track impact factor was estimated from the measured dynamic wheel load, and the empirical dynamic wheel load was calculated using the measured track impact factor at each site. The measured track impact factors were used for simulating the dynamic wheel loads applied on the derived time history function for fast trains. A finite element analysis model using the derived time history function based on the empirical dynamic wheel load was used to predict the train-induced track displacement. The numerical simulations and field test results were compared with German and Japanese regulations for train-induced track displacement, and the speedup effect of a tilting train was compared with that of a general train (EMU). The empirical track impact factors were 17-18% higher in the R400 sections than in the R600 sections. As the track curvature decreased, the impact on the track increased. There fore, the empirical track impact factors were 21-23% higher in the WT sections than in the PCT sections. At 70 km/h, the impact on the track from a tilting train was 7-11% less than that from EMU. Although the tilting train sped up by 30% (90 km/h), its response level was similar to or less than that of the EMU. The analytical results reproduced the experimental results well within about 2-5% difference in the values. Therefore, the derived time history function based on the measured track impact factors is considered to provide sufficiently reliable FEA results in the investigation of the behavior of ballasted tracks. The difference between the maximum displacements for both train types on all the sections was about 15-20%.
机译:在轨道设计和行为预测中,通过考虑轨道的设计载荷来评估车轮载荷的可变贡献。此外,履带冲击因子用于计算动态车轮载荷作为单个值,该值是根据轨道类型(即,连续焊接的轨道或关节轨道)和设计速度选择的,但未考虑轨道状况(例如,压载状况良好或不良),列车类型(例如,列车和动车组倾斜)和轨道部件(例如,轨枕类型和固定类型)。在这项研究中,将测得的轨道影响因子应用于有限元分析的托里函数的时间,以便预测在实际条件下(包括弯曲的和恶化的轨道)压载轨道的位移,从而使列车速度提高了大约20倍。现有列车速度的-30%。因此,对于在具有两种不同轨枕类型的四个常规弯曲轨道区段上运行的两种不同列车,测量了动态车轮载荷以及轨道和轨枕的位移。根据测得的动态车轮载荷估算出轨道冲击系数,并使用测得的每个地点的履带冲击系数计算经验性动态车轮载荷。测得的轨道冲击因子用于模拟动态车轮载荷,该载荷作用于快速列车的导出时程函数。利用基于经验动态车轮载荷的导出时程函数的有限元分析模型来预测列车引起的轨道位移。将数值模拟和现场测试结果与德国和日本针对火车引起的轨道位移的规定进行了比较,并将倾斜火车的提速效果与普通火车(EMU)的提速效果进行了比较。 R400断面的经验轨道影响因子比R600断面高17-18%。随着轨道曲率的降低,对轨道的影响增加。因此,WT部分的经验跟踪影响因子比PCT部分高21-23%。在70 km / h的速度下,倾斜火车对轨道的影响比EMU少7-11%。尽管倾斜列车的速度加快了30%(90 km / h),但其响应水平与EMU相似或更低。分析结果很好地再现了实验结果,其值相差约2%至5%。因此,基于实测轨道影响因子的派生时间历史函数被认为可以在研究道ast轨道的行为时提供足够可靠的FEA结果。在所有区间上,两种列车类型的最大排量之间的差异约为15-20%。

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