首页> 外文会议>ASME/IEEE Joint Railroad Conference >Intelligent system for real-time prediction of railway vehicle response to the interaction with track geometry
【24h】

Intelligent system for real-time prediction of railway vehicle response to the interaction with track geometry

机译:智能系统,用于轨道几何互动的铁路车辆响应的实时预测

获取原文

摘要

Safe interaction of railway vehicles to track and its geometry is of paramount importance to the railroad industry. Railroads currently utilize track geometry cars to measure the geometry for comparison to safety limits. However, these limits are set for individual measures of track geometry such as gage, surface (or profile), alignment, cross-level, etc. and have been defined based on nominal vehicle characteristics. The track and vehicle do not act independently, however, and so it is more appropriate to analyze the vehicle/track interaction. Prediction of the vehicle dynamic response to existing track geometry can be used to locate potentially unsafe locations in track, based on a range of vehicle configurations and operating speeds. While this is currently done in an offline mode, it would be advantageous to achieve this on a track geometry car in real-time. A limited real-time dynamic simulation system was developed for just this purpose. The model was initially based on the track analyzer method developed by Volpe National Transportation Systems Center, but was significantly enhanced in order to provide accurate predictions over a wider variety of vehicle behavior, and in response to a wider variety of track geometry conditions. Responses predicted by the model, including the vehicle bounce, roll, and pitch, as well as vertical wheel/rail forces, are compared with established limitations on vehicle response in order to identify unsafe locations in track. Inputs to the model include the relevant physical parameters of the vehicle, the range of vehicle travelling speeds to be analyzed, and the dynamic response safety thresholds with which exceptions are located. Finally, the system was validated (by comparison with NUCARS predictions) and tested for its real-time capabilities.
机译:铁路车辆跟踪的安全互动及其几何对铁路行业至关重要。轨道目前利用轨道几何轿厢来测量几何形状,以便与安全限制进行比较。然而,这些限制被设定用于轨道几何形状的各个测量,例如量具,表面(或轮廓),对准,交叉级别等,并且已经基于标称车辆特性定义。然而,轨道和车辆不独立行动,因此分析车辆/轨道相互作用更适合。基于一系列车辆配置和操作速度,可以使用对现有轨道几何形状的车辆动态响应的预测来定位轨道上的潜在不安全的位置。虽然这是在离线模式下完成的,但实时在轨道几何循环上实现这一点是有利的。仅为此目的开发了一个有限的实时动态仿真系统。该模型最初基于Volpe国家运输系统中心开发的轨道分析仪方法,但是显着提升,以便在更广泛的车辆行为上提供准确的预测,并响应较宽的轨道几何条件。将模型预测的响应,包括车辆反弹,卷和间距以及垂直轮/导轨,与车辆响应的既定限制相比,以识别轨道上的不安全位置。模型的输入包括车辆的相关物理参数,要分析的车辆行驶速度的范围,以及所定位异常的动态响应安全阈值。最后,验证了系统(通过与Nucars预测进行比较)并对其实时功能进行测试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号