通过轮轨动态相互作用监测铁路道岔系统结构劣化

Sakdirat Kaewunruen
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引用次数: 98

摘要

从安装在火车上的路边检测系统和传感器获得的“大数据”表明,铁路轨道的实际装载历史相当动态和短暂。列车和轨道相互作用引起的动载荷从钢轨到轨垫、从轨垫到轨枕以及从轨枕到地下地面重新分配。再分布到每一层轨道上的动态内容也通过材料和结构的能量耗散特性进行过滤。铁路道岔作为一项重要的基础设施,是一种用于使列车转向其他方向或其他轨道的结构梁架系统。轮轨接触在交叉转移区经常产生有害的冲击载荷,使道岔及其部件迅速恶化。轮轨相互作用的动力响应在很大程度上取决于交叉几何形状的非光滑轨迹或磨损情况。在现实中,铁路线路分布很远,监控这样的铁路基础设施是铁路行业的挑战之一。本文介绍了一种方法和应用来评估和监测澳大利亚城市轨道网络中铁路道岔系统的结构劣化。该方法综合了列车/轨道数值仿真、经标定的轨道检测车“AK车”轴箱加速度和平顺性数据。
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Monitoring structural deterioration of railway turnout systems via dynamic wheel/rail interaction

Big data’ obtained from wayside detection systems and sensors installed on board a train show that actual loading history for a railway track is rather dynamic and transient. The dynamic loadings due to train and track interactions redistribute from the rails to the rail pad, from the rail pad to the railway sleeper, and from the railway sleeper to the underlying ground. Dynamic content redistributed onto each layer of track is also filtered by energy dissipation characteristic of materials and structures. As a critical infrastructure, railway turnout is a structural grillage system used to divert a train to other directions or other tracks. The wheel–rail contact over the crossing transfer zone often causes detrimental impact loads that rapidly deteriorate the turnout and its components. The dynamic responses of wheel–rail interaction depend largely on the non-smooth trajectory or wearing condition of crossing geometry. In reality, a railway line spreads over a large distance and monitoring such rail infrastructure is one of the challenges in rail industry. This paper presents a methodology and application to evaluate and monitor the structural deterioration of railway turnout systems in an Australian urban rail network. The method has integrated numerical train/track simulations, axle box acceleration and ride quality data obtained from the calibrated track inspection vehicle “AK Car”.

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Contents Editorial Board Editorial Board Contents Comparison of surface-based and image-based quality metrics for the analysis of dimensional computed tomography data
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