Characterization of Degraded Ballast Strength: A Field Application of Ground Penetrating Radar and Dynamic Cone Penetration

Youngdae Kim, Robert Wiggins, Yong-Hoon Byun, Issam I. A. Qamhia, Erol Tutumluer, Jeremy Beasley, Abby Cisko, Hamed Kashani, Ryan Langlois, Michael J. Harrell
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Abstract

Ballast performance and lifecycle are influenced by aggregate breakdown-related degradation or fouling and moisture accumulating in track substructure, necessitating effective monitoring and characterization methods. Recent research supported by the U.S. Army Engineer Research and Development Center has focused on investigating condition assessment technologies and developing innovative solutions to ensure railway infrastructure performance. This paper presents a combined application of ground penetrating radar (GPR), the Smart Dynamic Cone Penetrometer (DCP) with an automatic depth measurement system, and the PANDA® penetrometer for comprehensive ballast condition evaluations. The GPR scans covered 43.5 km (27 mi) of railway track, and two types of DCP tests were executed at 15 distinct locations within the Fort Campbell Army installation in Kentucky. The analyses focused on understanding the depth profiles of the track substructure with particular attention given to ballast depth, fouling index (FI), moisture content, and ballast strength. The GPR surveys yielded relative moisture content (RMC) and FI depth profile heatmaps, revealing a correlation between these two variables. A comparative analysis of the Smart DCP and PANDA penetrometer results was conducted, identifying interfaces between the ballast and subballast layers. The study explores the impact of RMC and FI on ballast strength, particularly beyond a critical penetration depth from the ballast surface. Finally, a Gaussian function model is proposed to represent the California Bearing Ratio as a function of the FI and RMC. These findings offer potential for predictive assessments of ballast strength based on FI and moisture content.
退化道碴强度的表征:地面穿透雷达和动态锥入度的实地应用
无砟轨道的性能和生命周期受到轨道下部结构中与集料破碎相关的退化或污垢和湿气积累的影响,因此必须采用有效的监测和表征方法。近期由美国陆军工程研发中心支持的研究重点是调查状态评估技术和开发创新解决方案,以确保铁路基础设施的性能。本文介绍了地面穿透雷达 (GPR)、带有自动深度测量系统的智能动态锥形透度计 (DCP) 和 PANDA® 透度计在全面评估道碴状况方面的综合应用。GPR 扫描覆盖了 43.5 公里(27 英里)的铁路轨道,并在肯塔基州坎贝尔堡陆军设施内的 15 个不同地点进行了两种类型的 DCP 测试。分析的重点是了解轨道下部结构的深度剖面,尤其关注道碴深度、结垢指数 (FI)、含水量和道碴强度。GPR 勘测得出了相对含水量 (RMC) 和 FI 深度剖面热图,揭示了这两个变量之间的相关性。对智能 DCP 和 PANDA 透度计的结果进行了比较分析,确定了道碴层和底碴层之间的界面。研究探讨了 RMC 和 FI 对压载强度的影响,尤其是超过压载表面临界渗透深度的影响。最后,提出了一个高斯函数模型,将加州承载比表示为 FI 和 RMC 的函数。这些发现为基于 FI 和含水量的压载强度预测评估提供了可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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