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A study on characteristic indexes of railway ballast bed under high-frequency radar
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Shilei Wang, Zhan Peng, Guixian Liu, Weile Qiang, Chi Zhang
Railway Sciences | 2023, 2(1) : 33 - 47
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Railway Sciences | 2023, 2(1): 33-47
Research paper
A study on characteristic indexes of railway ballast bed under high-frequency radar
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Shilei Wang, Zhan Peng, Guixian Liu, Weile Qiang, Chi Zhang
Affiliations
  • Infrastructure Inspection Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
Published: 2023-03-10 doi: 10.1108/RS-02-2023-0009
Outline
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Purpose

In this paper, a high-frequency radar test system was used to collect the data of clean ballast bed and fouled ballast bed of ballasted tracks, respectively, for a quantitative evaluation of the condition of railway ballast bed.

Design/methodology/approach

Based on original radar signals, the time-frequency characteristics of radar signals were analyzed, five ballast bed condition characteristic indexes were proposed, including the frequency domain integral area, scanning area, number of intersections with the time axis, number of time-domain inflection points and amplitude envelope obtained by Hilbert transform, and the effectiveness and sensitivity of the indexes were analyzed.

Findings

The thickness of ballast bed tested at the sleep bottom by high-frequency radar is up to 55 cm, which meets the requirements of ballast bed detection. Compared with clean ballast bed, the values of the five indexes of fouled ballast bed are larger, and the five indexes could effectively show the condition of the ballast bed. The computational efficiency of amplitude envelope obtained by Hilbert transform is 140 s·km-1, and the computational efficiency of other indexes is 5 s·km-1. The amplitude envelopes obtained by Hilbert transform in the subgrade sections and tunnel sections are the most sensitive, followed by scanning area. The number of intersections with the time axis in the bridge sections was the most sensitive, followed by the scanning area. The scanning area can adapt to different substructures such as subgrade, bridges and tunnels, with high comprehensive sensitivity.

Originality/value

The research can provide appropriate characteristic indexes from the high-frequency radar original signal to quantitatively evaluate ballast bed condition under different substructures.

Ballasted track  /  Ballast bed  /  High-frequency radar  /  Test  /  Time-frequency characteristics  /  Characteristic indexes
Shilei Wang, Zhan Peng, Guixian Liu, Weile Qiang, Chi Zhang. A study on characteristic indexes of railway ballast bed under high-frequency radar[J]. Railway Sciences, 2023 , 2 (1) : 33 -47 . DOI: 10.1108/RS-02-2023-0009
  • the National Key R&D program of China(2022YFB2603302)
  • the Science and Technology Research and Development Program of China State Railway Group Co., Ltd(K2022G015)
  • the Fund Project of China Academy of Railway Sciences Corporation Limited(2022YJ305)
Year 2023 volume 2 Issue 1
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Article Info
doi: 10.1108/RS-02-2023-0009
  • Receive Date:2023-02-01
  • Online Date:2026-06-11
  • Published:2023-03-10
Article Data
Affiliations
History
  • Received:2023-02-01
  • Revised:2023-02-06
  • Accepted:2023-02-06
Funding
the National Key R&D program of China(2022YFB2603302)
the Science and Technology Research and Development Program of China State Railway Group Co., Ltd(K2022G015)
the Fund Project of China Academy of Railway Sciences Corporation Limited(2022YJ305)
Affiliations
    Infrastructure Inspection Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China

Corresponding:

Shilei Wang can be contacted at:
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表12种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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