Early-Warning Method of Train Running Safety of a High-Speed Railway Bridge Based on Transverse Vibration Monitoring
Making use of long-term transverse vibration monitoring data of DaShengGuan Bridge, the early-warning method of train running safety of the high-speed railway bridge is established by adopting principal component analysis (PCA) method. Firstly, the root mean square (RMS) of the transverse accelerati...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/518689 |
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| _version_ | 1850165661080223744 |
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| author | You-Liang Ding Peng Sun Gao-Xin Wang Yong-Sheng Song Lai-Yi Wu Qing Yue Ai-Qun Li |
| author_facet | You-Liang Ding Peng Sun Gao-Xin Wang Yong-Sheng Song Lai-Yi Wu Qing Yue Ai-Qun Li |
| author_sort | You-Liang Ding |
| collection | DOAJ |
| description | Making use of long-term transverse vibration monitoring data of DaShengGuan Bridge, the early-warning method of train running safety of the high-speed railway bridge is established by adopting principal component analysis (PCA) method. Firstly, the root mean square (RMS) of the transverse acceleration of the main girder is used as the monitoring parameter for the train running safety. The correlation model between the RMS values measured from different positions is further adopted as the evaluating model for the train running safety. Finally, the effects of the environmental changes on the evaluating model are eliminated using the PCA method and the warning index for the train running safety is further constructed. The analysis results show that the correlation between the RMS values of the accelerations from different measuring positions on the main girder can be analyzed by a quadratic polynomial fitting model. The PCA method can effectively remove the environmental effects on the quadratic polynomial fitting model. The proposed warning method provides a good capability for detecting the abnormal changes of the measured transverse accelerations and hence it is suitable for early-warning of the train running safety. |
| format | Article |
| id | doaj-art-edeecdac23a445e682f0a7d6af86e991 |
| institution | OA Journals |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-edeecdac23a445e682f0a7d6af86e9912025-08-20T02:21:41ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/518689518689Early-Warning Method of Train Running Safety of a High-Speed Railway Bridge Based on Transverse Vibration MonitoringYou-Liang Ding0Peng Sun1Gao-Xin Wang2Yong-Sheng Song3Lai-Yi Wu4Qing Yue5Ai-Qun Li6Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, ChinaDepartment of Civil and Environmental Engineering, Rice University, Houston, TX 77005, USAKey Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, ChinaKey Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, ChinaChina Railway Major Bridge (Nanjing) Bridge and Tunnel Inspect & Retrofit Co., Ltd, Nanjing 210032, ChinaChina Railway Major Bridge (Nanjing) Bridge and Tunnel Inspect & Retrofit Co., Ltd, Nanjing 210032, ChinaKey Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, ChinaMaking use of long-term transverse vibration monitoring data of DaShengGuan Bridge, the early-warning method of train running safety of the high-speed railway bridge is established by adopting principal component analysis (PCA) method. Firstly, the root mean square (RMS) of the transverse acceleration of the main girder is used as the monitoring parameter for the train running safety. The correlation model between the RMS values measured from different positions is further adopted as the evaluating model for the train running safety. Finally, the effects of the environmental changes on the evaluating model are eliminated using the PCA method and the warning index for the train running safety is further constructed. The analysis results show that the correlation between the RMS values of the accelerations from different measuring positions on the main girder can be analyzed by a quadratic polynomial fitting model. The PCA method can effectively remove the environmental effects on the quadratic polynomial fitting model. The proposed warning method provides a good capability for detecting the abnormal changes of the measured transverse accelerations and hence it is suitable for early-warning of the train running safety.http://dx.doi.org/10.1155/2015/518689 |
| spellingShingle | You-Liang Ding Peng Sun Gao-Xin Wang Yong-Sheng Song Lai-Yi Wu Qing Yue Ai-Qun Li Early-Warning Method of Train Running Safety of a High-Speed Railway Bridge Based on Transverse Vibration Monitoring Shock and Vibration |
| title | Early-Warning Method of Train Running Safety of a High-Speed Railway Bridge Based on Transverse Vibration Monitoring |
| title_full | Early-Warning Method of Train Running Safety of a High-Speed Railway Bridge Based on Transverse Vibration Monitoring |
| title_fullStr | Early-Warning Method of Train Running Safety of a High-Speed Railway Bridge Based on Transverse Vibration Monitoring |
| title_full_unstemmed | Early-Warning Method of Train Running Safety of a High-Speed Railway Bridge Based on Transverse Vibration Monitoring |
| title_short | Early-Warning Method of Train Running Safety of a High-Speed Railway Bridge Based on Transverse Vibration Monitoring |
| title_sort | early warning method of train running safety of a high speed railway bridge based on transverse vibration monitoring |
| url | http://dx.doi.org/10.1155/2015/518689 |
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