Free access
Technical Breakthrough Abstracts
Jan 25, 2018

Identification of Railroad Ballast Fouling through Particle Movements

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 144, Issue 4
Railroad ballast fouling is a source of major distress that causes track instabilities and high maintenance and replacement costs. When ballast is fouled, the voids among the large aggregate become filled with fine particles that can block drainage and decrease the shear strength of the ballast layer. There have been numerous studies on ballast fouling since the early 1980s. However, to the authors’ knowledge, the effect of ballast fouling on particle movement and the associated impact on the dynamic train-track interaction, which provides better indication of track instability than ballast strength, have not been shown in the literature.
A recent railroad field test was conducted to investigate and visualize the movement patterns of ballast particles under different trackbed conditions. A control section with clean ballast and a section with mud pumping were chosen. These two sections are in close proximity on the same track so that traffic conditions are identical. SmartRocks (Liu et al. 2017), which are wireless sensor devices, were embedded in the crib, 10 cm beneath the ballast surface in each section to record particle movements under train passage. Fig. 1 shows the uncovered SmartRocks. SmartRocks can realistically sense, record, and transmit translation and rotation movements in real-time via Bluetooth. Three-dimensional printing technology is used to generate arbitrary shapes of a SmartRock that resemble realistic ballast particles. An appropriate printing material is used so that the contact stiffness, equivalent specific gravity, and strength of each SmartRock are close to those of other ballast particles.
Fig. 1. SmartRocks in (a) clean section; (b) mud-spot section
An example of data recorded by SmartRocks from both sections under an AMTRAK train with an axle load of approximately 160 kN and speed of 115  km/h is presented. Fig. 2(a) shows a comparison of the recorded vertical acceleration time history of the SmartRock in the clean section under dry conditions and for the mud-spot section under wet conditions. The wet mud-spot section experienced more intense vertical vibration than the dry clean section, which is because the lower shear strength in the wet mud-spot section is likely caused by a lack of particle-particle interlocking and buildup of excess pore pressure as manifested through mud pumping. Fig. 2(b) shows a comparison of SmartRock peak acceleration distribution over a one-week period for the clean and mud-spot sections under dry and wet conditions. The clean section under dry conditions has the highest peak and narrowest acceleration distribution corresponding to the best ballast performance, whereas the mud-spot section under wet conditions has the lowest peak and widest acceleration distribution corresponding to the worst performance. Fig. 2(b) also shows that the clean section under wet conditions and the mud-spot section under dry conditions have a similar performance.
Fig. 2. Particle acceleration characteristics: (a) time history of vertical acceleration; (b) distribution of peak vertical acceleration

Implications

Large variability in fouled railroad track performances owing to moisture content change has been a critical issue for track engineers and maintenance-of-way decision makers. This research represents the first field experiment to highlight the difference in performance of clean and fouled ballast under dry and wet conditions through visualization of individual ballast particle movement characteristics. The results demonstrate that real-time diagnostics are now possible for assessment of the structural integrity of ballasted track, and in particular as a possible indicator of ballast fouling buildup over time.

Acknowledgments

Financial support of this study was provided by the Federal Railroad Administration, U.S. Department of Transportation. Field support from Norfolk Southern is also gratefully acknowledged.

References

Liu, S., Huang, H., Qiu, T., and Gao, L. (2017). “Comparison of laboratory testing using SmartRock and discrete element modeling of ballast particle movement.” J. Mater. Civ. Eng., D6016001.

Information & Authors

Information

Published In

Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 144Issue 4April 2018

History

Received: Aug 20, 2017
Accepted: Sep 6, 2017
Published online: Jan 25, 2018
Published in print: Apr 1, 2018
Discussion open until: Jun 25, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Hai Huang, M.ASCE [email protected]
Associate Professor, Rail Transportation Engineering, Pennsylvania State Univ., Altoona, PA 16601. E-mail: [email protected]
Shushu Liu, S.M.ASCE [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Pennsylvania State Univ., University Park, PA 16802. E-mail: [email protected]
Tong Qiu, M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Pennsylvania State Univ., University Park, PA 16802 (corresponding author). E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share