Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a Train
A large part of the noise emissions from rail traffic originates from rolling noise. This is significantly determined by the surface roughness of the wheel and the rail. To quantitatively assess the noise generation from the wheel–rail contact, it is necessary to measure the surface roughness of the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/23/11988 |
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| author | Florian Mauz Remo Wigger Tobias Wahl Michal Kuffa Konrad Wegener |
| author_facet | Florian Mauz Remo Wigger Tobias Wahl Michal Kuffa Konrad Wegener |
| author_sort | Florian Mauz |
| collection | DOAJ |
| description | A large part of the noise emissions from rail traffic originates from rolling noise. This is significantly determined by the surface roughness of the wheel and the rail. To quantitatively assess the noise generation from the wheel–rail contact, it is necessary to measure the surface roughness of the rail network. Direct measurements via trolley devices are usually associated with the need for a free track and limitation in velocity. Indirect measurements of rail roughness, such as measuring axle-box accelerations, enable operation during regular passage but only estimate the acoustic roughness. In this study, the potential of an optical and consequently contact-free measurement method using laser triangulation sensors to measure rail roughness from the train is investigated. The approach can combine the advantage of operation during regular passage with the characteristics of a direct measurement, enabling large-scale monitoring of the rail network. A measurement run with a train was carried out on a meter-gauge track at speeds up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>80</mn><msup><mrow><mrow><mo> </mo><mi>km</mi><mo> </mo><mi mathvariant="normal">h</mi></mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula> The results of the optical measurement approach were compared with a tactile reference measurement on the track. The results show good agreement of the new measurement setup for dry rail surface conditions at <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>50</mn><mo> </mo><msup><mrow><mrow><mi>km</mi><mo> </mo><mi mathvariant="normal">h</mi></mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula>, with a mean deviation of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.48</mn><mrow><mo> </mo><mi>dB</mi></mrow></mrow></semantics></math></inline-formula>. |
| first_indexed | 2024-03-09T17:53:52Z |
| format | Article |
| id | doaj.art-06abbc48caf147548b31870260265e45 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T17:53:52Z |
| publishDate | 2022-11-01 |
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| series | Applied Sciences |
| spelling | doaj.art-06abbc48caf147548b31870260265e452023-11-24T10:29:05ZengMDPI AGApplied Sciences2076-34172022-11-0112231198810.3390/app122311988Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a TrainFlorian Mauz0Remo Wigger1Tobias Wahl2Michal Kuffa3Konrad Wegener4Institute for Machine Tools and Manufacturing, ETH Zürich, 8092 Zurich, SwitzerlandInstitute for Machine Tools and Manufacturing, ETH Zürich, 8092 Zurich, SwitzerlandInspire AG, 8005 Zurich, SwitzerlandInstitute for Machine Tools and Manufacturing, ETH Zürich, 8092 Zurich, SwitzerlandInstitute for Machine Tools and Manufacturing, ETH Zürich, 8092 Zurich, SwitzerlandA large part of the noise emissions from rail traffic originates from rolling noise. This is significantly determined by the surface roughness of the wheel and the rail. To quantitatively assess the noise generation from the wheel–rail contact, it is necessary to measure the surface roughness of the rail network. Direct measurements via trolley devices are usually associated with the need for a free track and limitation in velocity. Indirect measurements of rail roughness, such as measuring axle-box accelerations, enable operation during regular passage but only estimate the acoustic roughness. In this study, the potential of an optical and consequently contact-free measurement method using laser triangulation sensors to measure rail roughness from the train is investigated. The approach can combine the advantage of operation during regular passage with the characteristics of a direct measurement, enabling large-scale monitoring of the rail network. A measurement run with a train was carried out on a meter-gauge track at speeds up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>80</mn><msup><mrow><mrow><mo> </mo><mi>km</mi><mo> </mo><mi mathvariant="normal">h</mi></mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula> The results of the optical measurement approach were compared with a tactile reference measurement on the track. The results show good agreement of the new measurement setup for dry rail surface conditions at <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>50</mn><mo> </mo><msup><mrow><mrow><mi>km</mi><mo> </mo><mi mathvariant="normal">h</mi></mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula>, with a mean deviation of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.48</mn><mrow><mo> </mo><mi>dB</mi></mrow></mrow></semantics></math></inline-formula>.https://www.mdpi.com/2076-3417/12/23/11988railway rolling noiserail profilesacoustic roughnesscondition monitoringchord method |
| spellingShingle | Florian Mauz Remo Wigger Tobias Wahl Michal Kuffa Konrad Wegener Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a Train Applied Sciences railway rolling noise rail profiles acoustic roughness condition monitoring chord method |
| title | Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a Train |
| title_full | Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a Train |
| title_fullStr | Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a Train |
| title_full_unstemmed | Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a Train |
| title_short | Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a Train |
| title_sort | acoustic roughness measurement of railway tracks implementation of a chord based optical measurement system on a train |
| topic | railway rolling noise rail profiles acoustic roughness condition monitoring chord method |
| url | https://www.mdpi.com/2076-3417/12/23/11988 |
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