Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method
Wind action is one of the environmental actions that has significant static and dynamic effects on long-span bridges. The lateral wind speed is the main factor affecting the lateral displacement of the main girder of the bridge. The main objective of the paper is to use the improved multi-rate fusio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/6/1967 |
| _version_ | 1797541731802021888 |
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| author | Yan Wang Dong-Hui Yang Ting-Hua Yi |
| author_facet | Yan Wang Dong-Hui Yang Ting-Hua Yi |
| author_sort | Yan Wang |
| collection | DOAJ |
| description | Wind action is one of the environmental actions that has significant static and dynamic effects on long-span bridges. The lateral wind speed is the main factor affecting the lateral displacement of the main girder of the bridge. The main objective of the paper is to use the improved multi-rate fusion method to correct the monitoring data so that accurate correlation modeling of wind speed-displacement can be achieved. Two Kalman gain coefficients are introduced to improve the traditional multi-rate fusion method. The fusion method is verified by the results of simulated data analysis in time domain and frequency domain. Then, the improved multi-rate fusion method is used to fuse the monitoring lateral displacement and acceleration data of a bridge under strong wind action. The corrected lateral wind speed and displacement data is further applied to establish the correlation model through the linear regression. The improved multi-rate fusion method can overcome the inaccuracy of the high frequency stage of a Global Positioning System (GPS) sensor and the low frequency stage of acceleration sensor. The correlation coefficient of wind speed-displacement after fusion increases and the confidence interval width of regression model decreases, which indicates that the accuracy of the correlation model between wind speed and displacement is improved. |
| first_indexed | 2024-03-10T13:19:55Z |
| format | Article |
| id | doaj.art-01fb093a39bf468eae470883a413fe6d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T13:19:55Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-01fb093a39bf468eae470883a413fe6d2023-11-21T10:02:42ZengMDPI AGSensors1424-82202021-03-01216196710.3390/s21061967Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion MethodYan Wang0Dong-Hui Yang1Ting-Hua Yi2School of Civil Engineering, Dalian University of Technology, Dalian 116023, ChinaSchool of Civil Engineering, Dalian University of Technology, Dalian 116023, ChinaSchool of Civil Engineering, Dalian University of Technology, Dalian 116023, ChinaWind action is one of the environmental actions that has significant static and dynamic effects on long-span bridges. The lateral wind speed is the main factor affecting the lateral displacement of the main girder of the bridge. The main objective of the paper is to use the improved multi-rate fusion method to correct the monitoring data so that accurate correlation modeling of wind speed-displacement can be achieved. Two Kalman gain coefficients are introduced to improve the traditional multi-rate fusion method. The fusion method is verified by the results of simulated data analysis in time domain and frequency domain. Then, the improved multi-rate fusion method is used to fuse the monitoring lateral displacement and acceleration data of a bridge under strong wind action. The corrected lateral wind speed and displacement data is further applied to establish the correlation model through the linear regression. The improved multi-rate fusion method can overcome the inaccuracy of the high frequency stage of a Global Positioning System (GPS) sensor and the low frequency stage of acceleration sensor. The correlation coefficient of wind speed-displacement after fusion increases and the confidence interval width of regression model decreases, which indicates that the accuracy of the correlation model between wind speed and displacement is improved.https://www.mdpi.com/1424-8220/21/6/1967multi-rate Kalman fusionwind speed-displacement modelingstructural health monitoringcable-stayed bridgeperformance warning |
| spellingShingle | Yan Wang Dong-Hui Yang Ting-Hua Yi Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method Sensors multi-rate Kalman fusion wind speed-displacement modeling structural health monitoring cable-stayed bridge performance warning |
| title | Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method |
| title_full | Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method |
| title_fullStr | Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method |
| title_full_unstemmed | Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method |
| title_short | Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method |
| title_sort | accurate correlation modeling between wind speed and bridge girder displacement based on a multi rate fusion method |
| topic | multi-rate Kalman fusion wind speed-displacement modeling structural health monitoring cable-stayed bridge performance warning |
| url | https://www.mdpi.com/1424-8220/21/6/1967 |
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