Improvement and In-Situ Application of an Evaluation Method of Ballasted-Track Condition Using Digital 2-D Image Analysis
The advancement in digital image analysis methods has led to the development of various techniques, i.e., quantification of ballast gravel abrasion. In this study, the recognition rate of gravel aggregates has been significantly increased by improving the image analysis methods. The correlation betw...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/21/7946 |
| _version_ | 1797548389482627072 |
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| author | Bongsik Park Yeong-Tae Choi Hyunmin Kim |
| author_facet | Bongsik Park Yeong-Tae Choi Hyunmin Kim |
| author_sort | Bongsik Park |
| collection | DOAJ |
| description | The advancement in digital image analysis methods has led to the development of various techniques, i.e., quantification of ballast gravel abrasion. In this study, the recognition rate of gravel aggregates has been significantly increased by improving the image analysis methods. The correlation between the track quality index (TQI), which is the standard deviation of vertical track irregularity and represents the condition of a high-speed railway, and the number of maintenance works was analyzed by performing an image analysis on the samples collected from various locations of a high-speed railway. The results revealed that roundness has the highest correlation with the TQI, whereas sphericity has the highest correlation with the number of maintenance works. The ballast replacement would be performed to improve maintenance efficiency if the abrasion of the ballast aggregates becomes approximately 10%. |
| first_indexed | 2024-03-10T14:58:41Z |
| format | Article |
| id | doaj.art-406e674d5b104a99b36e1d4d86ef8ec7 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T14:58:41Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-406e674d5b104a99b36e1d4d86ef8ec72023-11-20T20:19:18ZengMDPI AGApplied Sciences2076-34172020-11-011021794610.3390/app10217946Improvement and In-Situ Application of an Evaluation Method of Ballasted-Track Condition Using Digital 2-D Image AnalysisBongsik Park0Yeong-Tae Choi1Hyunmin Kim2Track & Roadbed Research Team, Korea Railroad Research Institute (KRRI), Cheoldobangmulgwan-ro 176, Uiwang-si, Gyeonggi-do 16105, KoreaTrack & Roadbed Research Team, Korea Railroad Research Institute (KRRI), Cheoldobangmulgwan-ro 176, Uiwang-si, Gyeonggi-do 16105, KoreaRailroad Structure Research Team, Korea Railroad Research Institute (KRRI), Cheoldobangmulgwan-ro 176, Uiwang-si, Gyeonggi-do 16105, KoreaThe advancement in digital image analysis methods has led to the development of various techniques, i.e., quantification of ballast gravel abrasion. In this study, the recognition rate of gravel aggregates has been significantly increased by improving the image analysis methods. The correlation between the track quality index (TQI), which is the standard deviation of vertical track irregularity and represents the condition of a high-speed railway, and the number of maintenance works was analyzed by performing an image analysis on the samples collected from various locations of a high-speed railway. The results revealed that roundness has the highest correlation with the TQI, whereas sphericity has the highest correlation with the number of maintenance works. The ballast replacement would be performed to improve maintenance efficiency if the abrasion of the ballast aggregates becomes approximately 10%.https://www.mdpi.com/2076-3417/10/21/7946ballasted trackimage analysis methodabrasionshape index |
| spellingShingle | Bongsik Park Yeong-Tae Choi Hyunmin Kim Improvement and In-Situ Application of an Evaluation Method of Ballasted-Track Condition Using Digital 2-D Image Analysis Applied Sciences ballasted track image analysis method abrasion shape index |
| title | Improvement and In-Situ Application of an Evaluation Method of Ballasted-Track Condition Using Digital 2-D Image Analysis |
| title_full | Improvement and In-Situ Application of an Evaluation Method of Ballasted-Track Condition Using Digital 2-D Image Analysis |
| title_fullStr | Improvement and In-Situ Application of an Evaluation Method of Ballasted-Track Condition Using Digital 2-D Image Analysis |
| title_full_unstemmed | Improvement and In-Situ Application of an Evaluation Method of Ballasted-Track Condition Using Digital 2-D Image Analysis |
| title_short | Improvement and In-Situ Application of an Evaluation Method of Ballasted-Track Condition Using Digital 2-D Image Analysis |
| title_sort | improvement and in situ application of an evaluation method of ballasted track condition using digital 2 d image analysis |
| topic | ballasted track image analysis method abrasion shape index |
| url | https://www.mdpi.com/2076-3417/10/21/7946 |
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