A New High-Efficiency Procedure for Aggregate Gradation Determination of the Railway Ballast by Means Image Recognition Method
The mechanical characteristics of the railway superstructure are related to the properties of the ballast, and especially to the particle size distribution of its grains. Under the constant stress-strain of carriages, the ballast can deteriorate over time, and consequently it should properly be moni...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2013-12-01
|
| Series: | Archives of Civil Engineering |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/ace.2013.59.issue-4/ace-2013-0025/ace-2013-0025.xml?format=INT |
| _version_ | 1818466418045222912 |
|---|---|
| author | Guerrieri M. Parla G. |
| author_facet | Guerrieri M. Parla G. |
| author_sort | Guerrieri M. |
| collection | DOAJ |
| description | The mechanical characteristics of the railway superstructure are related to the properties of the ballast, and especially to the particle size distribution of its grains. Under the constant stress-strain of carriages, the ballast can deteriorate over time, and consequently it should properly be monitored for safety reasons. The equipment which currently monitors the railway superstructure (like the Italian diagnostic train Archimede) do not make any “quantitative” evaluation of the ballast. The aim of this paper is therefore to propose a new methodology for extracting railway ballast particle size distribution by means of the image processing technique. The procedure has been tested on a regularly operating Italian railway line and the results have been compared with those obtained from laboratory experiments, thus assessing how effective is the methodology which could potentially be implemented also in diagnostic trains in the near future. |
| first_indexed | 2024-04-13T20:58:18Z |
| format | Article |
| id | doaj.art-a0cbd99c40a5446fa9f27ae34823656c |
| institution | Directory Open Access Journal |
| issn | 1230-2945 |
| language | English |
| last_indexed | 2024-04-13T20:58:18Z |
| publishDate | 2013-12-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Civil Engineering |
| spelling | doaj.art-a0cbd99c40a5446fa9f27ae34823656c2022-12-22T02:30:15ZengPolish Academy of SciencesArchives of Civil Engineering1230-29452013-12-0159446948210.2478/ace-2013-0025ace-2013-0025A New High-Efficiency Procedure for Aggregate Gradation Determination of the Railway Ballast by Means Image Recognition MethodGuerrieri M.0Parla G.1University of Enna “Kore” and Adjunct Professor at University of Palermo, Italy, Via della Cooperazione, Enna Bassa 94100, Enna, Italy, Tel: 39-935-536-350DICAM, Faculty of Engineering, University of Palermo, Italy. Viale delle Scienze al ParcoThe mechanical characteristics of the railway superstructure are related to the properties of the ballast, and especially to the particle size distribution of its grains. Under the constant stress-strain of carriages, the ballast can deteriorate over time, and consequently it should properly be monitored for safety reasons. The equipment which currently monitors the railway superstructure (like the Italian diagnostic train Archimede) do not make any “quantitative” evaluation of the ballast. The aim of this paper is therefore to propose a new methodology for extracting railway ballast particle size distribution by means of the image processing technique. The procedure has been tested on a regularly operating Italian railway line and the results have been compared with those obtained from laboratory experiments, thus assessing how effective is the methodology which could potentially be implemented also in diagnostic trains in the near future.http://www.degruyter.com/view/j/ace.2013.59.issue-4/ace-2013-0025/ace-2013-0025.xml?format=INTRailway ballastImage analysisSegmentation techniquesAggregate gradation |
| spellingShingle | Guerrieri M. Parla G. A New High-Efficiency Procedure for Aggregate Gradation Determination of the Railway Ballast by Means Image Recognition Method Archives of Civil Engineering Railway ballast Image analysis Segmentation techniques Aggregate gradation |
| title | A New High-Efficiency Procedure for Aggregate Gradation Determination of the Railway Ballast by Means Image Recognition Method |
| title_full | A New High-Efficiency Procedure for Aggregate Gradation Determination of the Railway Ballast by Means Image Recognition Method |
| title_fullStr | A New High-Efficiency Procedure for Aggregate Gradation Determination of the Railway Ballast by Means Image Recognition Method |
| title_full_unstemmed | A New High-Efficiency Procedure for Aggregate Gradation Determination of the Railway Ballast by Means Image Recognition Method |
| title_short | A New High-Efficiency Procedure for Aggregate Gradation Determination of the Railway Ballast by Means Image Recognition Method |
| title_sort | new high efficiency procedure for aggregate gradation determination of the railway ballast by means image recognition method |
| topic | Railway ballast Image analysis Segmentation techniques Aggregate gradation |
| url | http://www.degruyter.com/view/j/ace.2013.59.issue-4/ace-2013-0025/ace-2013-0025.xml?format=INT |
| work_keys_str_mv | AT guerrierim anewhighefficiencyprocedureforaggregategradationdeterminationoftherailwayballastbymeansimagerecognitionmethod AT parlag anewhighefficiencyprocedureforaggregategradationdeterminationoftherailwayballastbymeansimagerecognitionmethod AT guerrierim newhighefficiencyprocedureforaggregategradationdeterminationoftherailwayballastbymeansimagerecognitionmethod AT parlag newhighefficiencyprocedureforaggregategradationdeterminationoftherailwayballastbymeansimagerecognitionmethod |