Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves
The cross-sectional geometry of a rail is complex, and numerous guided wave modes can be propagated in rails. In order to select a mode which is the most suitable for detecting a specific crack on a rail, a mathematical model of guided wave mode selection is constructed. The model is composed of a m...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2020/8045626 |
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| _version_ | 1849691010477588480 |
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| author | Bo Xing Zujun Yu Xining Xu Liqiang Zhu Hongmei Shi |
| author_facet | Bo Xing Zujun Yu Xining Xu Liqiang Zhu Hongmei Shi |
| author_sort | Bo Xing |
| collection | DOAJ |
| description | The cross-sectional geometry of a rail is complex, and numerous guided wave modes can be propagated in rails. In order to select a mode which is the most suitable for detecting a specific crack on a rail, a mathematical model of guided wave mode selection is constructed. The model is composed of a modal vibration factor and a modal orthogonal factor. By setting a reasonable vibration coefficient and orthogonal coefficient, the mode with the highest sensitivity to cracks is selected for crack detection. Taking a vertical crack on the rail bottom as an example, mode 1 at a frequency of 60 kHz is selected as the most suitable detection mode. At the same time, mode 7 and mode 11 are selected as comparative modes, and these three modes are simulated to detect rail cracks. Among them, mode 1 is the best, which verifies the correctness of the mode selection model. In addition, vertical cracks are manufactured artificially on the side of the rail bottom. The cracks are successfully detected by mode 1, and the positioning error is 0.07 m. After correction, the error is reduced to 0.02 m. The model can effectively select guided wave modes suitable for detecting arbitrary cracks on rails, which provides a theoretical solution for rail crack detection. |
| format | Article |
| id | doaj-art-e8f963a4ad404bad84647e1f4b5a9e31 |
| institution | DOAJ |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-e8f963a4ad404bad84647e1f4b5a9e312025-08-20T03:21:09ZengWileyShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/80456268045626Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided WavesBo Xing0Zujun Yu1Xining Xu2Liqiang Zhu3Hongmei Shi4School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaThe cross-sectional geometry of a rail is complex, and numerous guided wave modes can be propagated in rails. In order to select a mode which is the most suitable for detecting a specific crack on a rail, a mathematical model of guided wave mode selection is constructed. The model is composed of a modal vibration factor and a modal orthogonal factor. By setting a reasonable vibration coefficient and orthogonal coefficient, the mode with the highest sensitivity to cracks is selected for crack detection. Taking a vertical crack on the rail bottom as an example, mode 1 at a frequency of 60 kHz is selected as the most suitable detection mode. At the same time, mode 7 and mode 11 are selected as comparative modes, and these three modes are simulated to detect rail cracks. Among them, mode 1 is the best, which verifies the correctness of the mode selection model. In addition, vertical cracks are manufactured artificially on the side of the rail bottom. The cracks are successfully detected by mode 1, and the positioning error is 0.07 m. After correction, the error is reduced to 0.02 m. The model can effectively select guided wave modes suitable for detecting arbitrary cracks on rails, which provides a theoretical solution for rail crack detection.http://dx.doi.org/10.1155/2020/8045626 |
| spellingShingle | Bo Xing Zujun Yu Xining Xu Liqiang Zhu Hongmei Shi Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves Shock and Vibration |
| title | Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves |
| title_full | Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves |
| title_fullStr | Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves |
| title_full_unstemmed | Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves |
| title_short | Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves |
| title_sort | mode selection model for rail crack detection based on ultrasonic guided waves |
| url | http://dx.doi.org/10.1155/2020/8045626 |
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