Case Studies
Sep 6, 2019

Recovery Measure of Tamping on Different Track Geometry Irregularity Indexes

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 145, Issue 11

Abstract

Tamping affects track geometry irregularity indexes to different extents. The recovery measure of tamping on different track geometry irregularity indexes plays an important guiding role in the scientific decision making related to tamping operations and for the effective management and control of track quality. In this study, the recovery rates of track geometry quality and track geometry degradation rates between two adjacent tamping operations corresponding to each track geometry irregularity index were used as recovery measure indexes to establish models for the recovery measure of tamping on different track geometry irregularity indexes. Box plots were used for comparative analyses of the recovery effects of tamping on different track geometry irregularity indexes. To verify the effectiveness of these models, a total of 31 track inspection car historical data from September 2014 to December 2016 and tamping operation maintenance data during this time from the Shenmu–Shuozhou railway Hexi transportation division was used. The results showed that the recovery measure models proposed in this study can be used to effectively guide tamping operations. The tamping strategy based on these models helped significantly improve the tamping of the Shenmu–Shuozhou railway in terms of the tamping length of track and tamping cost. This was verified by comparing with the traditional tamping strategy and the tamping strategy based on the longitudinal level.

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Acknowledgments

This research was supported by the National Natural Science Foundation of China (51578057) and the Science and Technology Research and Development Program of China Railway Corporation (2017T003-C).

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 145Issue 11November 2019

History

Received: Dec 7, 2018
Accepted: Mar 28, 2019
Published online: Sep 6, 2019
Published in print: Nov 1, 2019
Discussion open until: Feb 6, 2020

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Authors

Affiliations

M.S. Candidate, State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong Univ., Beijing 100044, People’s Republic of China. Email: [email protected]
Rengkui Liu, Ph.D. [email protected]
Professor and Director, Dept. of Transportation Information Management, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, People’s Republic of China. Email: [email protected]
Chunyan Li, Ph.D. [email protected]
Associate Professor, Dept. of Transportation Information Management, School of Traffic and Transportation, Beijing Jiaotong Univ., No. 3 of Shangyuan Residence Haidian District, Beijing 100044, People’s Republic of China (corresponding author). Email: [email protected]
Futian Wang, Ph.D. [email protected]
Associate Professor, State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong Univ., Beijing 100044, People’s Republic of China. Email: [email protected]

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