Comparison of Laboratory Testing Using SmartRock and Discrete Element Modeling of Ballast Particle Movement

Comparison of Laboratory Testing Using SmartRock and Discrete Element Modeling of Ballast Particle Movement
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DOI:
10.1061/(asce)mt.1943-5533.0001540
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发表时间:
2017-03-01
影响因子:
3.2
通讯作者:
Gao, Liang
Gao, Liang
中科院分区:
工程技术3区
文献类型:
--
作者:
Liu, Shushu;Huang, Hai;Gao, Liang

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轨道性能在很大程度上取决于道碴性能。不利的道碴条件会导致轨道几何形状粗糙,并可能导致钢轨、轨枕和紧固部件损坏和劣化率增加。最近的离散元建模(DEM)研究表明,单个道碴颗粒运动和整体道碴性能之间有很强的关系。本文对循环荷载作用下碎石颗粒的运动规律进行了试验研究和数值模拟。在实验室测试中,一个名为SmartRock的无线设备被嵌入道碴箱中,以监测循环荷载下枕木下单个道碴颗粒的运动。在数值研究中,利用图像辅助DEM方法生成具有真实形状的道砟颗粒DEM颗粒,并模拟道砟箱试验。将SmartRock记录的实验室试验结果与DEM模拟结果进行了比较。良好的协议之间的模拟和记录粒子运动的峰值垂直,水平和角加速度在道碴变形。结果表明,水平运动和旋转是循环荷载作用下碎石颗粒的重要运动方式。SmartRock还能够记录实时粒子运动,包括平移和旋转,因此可以用作铁路的基础研究和监测工具。(C)2016年美国土木工程师协会。
Track performance is largely dependent on ballast performance. Unfavorable ballast conditions cause track geometry roughness and can contribute to increased rates of damage and deterioration to the rail, tie, and fastening components. Recent discrete element modeling (DEM) studies demonstrated a strong relationship between individual ballast particle movement and overall ballast performance. This paper presents a laboratory and numerical study on ballast particle movement under cyclic loading. In the laboratory test, a wireless device called SmartRock was embedded in a ballast box to monitor individual ballast particle movement beneath a crosstie under cyclic loading. In the numerical study, an image-aided DEM approach was utilized to generate DEM particles with a realistic shape of ballast particles and simulate the ballast box test. The laboratory test results recorded by the SmartRock and DEM simulations results were compared. Good agreement was observed between the simulated and recorded particle motion in terms of peak vertical, horizontal, and angular accelerations during ballast deformation. The results indicate that horizontal movement and rotation are important modes of motion for ballast particles under cyclic loading. The SmartRock is also shown to be capable of recording real-time particle movement including translation and rotation and, thus, can be used as a fundamental research and monitoring tool in railroads. (C) 2016 American Society of Civil Engineers.