Identification of Vehicle Loads on an Orthotropic Deck Steel Box Beam Bridge Based on Optimal Combined Strain Influence Lines
Vehicles are critical living loads to bridge structure; thus, identifying vehicle loads is very important for structural health monitoring and safety evaluations. This paper proposed a load identification method based on an optimal combined strain influence line. Firstly, two types of strain gauges...
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MDPI AG
2022-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/19/9848 |
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| author | Cheng-Yao Li Chao Wang Qing-Xiang Yang Tian-Yu Qi |
| author_facet | Cheng-Yao Li Chao Wang Qing-Xiang Yang Tian-Yu Qi |
| author_sort | Cheng-Yao Li |
| collection | DOAJ |
| description | Vehicles are critical living loads to bridge structure; thus, identifying vehicle loads is very important for structural health monitoring and safety evaluations. This paper proposed a load identification method based on an optimal combined strain influence line. Firstly, two types of strain gauges were arranged at the lower edge of a deck to monitor the strain response when vehicles cross the deck. One type of sensor was installed at the lower edge of the deck between U-ribs to detect axle information, including the number of axles, wheelbase, and vehicle speed. The other type of sensor was set on the lower edge of U-ribs to identify the axle’s weight. Secondly, structural responses under the vehicle load with known weights across the bridge was used to identify the strain influence line by using least square method. Because the local mechanical characteristic of the deck was very prominent under the wheel load, the strain influence line was short and susceptible to the transverse position of the vehicle. An index of variation coefficient is proposed as the object function, and an optimal combined strain influence line was developed using a genetic algorithm to decrease the influence of the transverse position of the load. Finally, the unknown vehicle load can be identified based on a calibrated combined strain influence line. A numerical simulation and an experimental test were carried out to validate the effectiveness and anti-noise performance of the proposed method. The identified results showed that the proposed algorithm has good accuracy and anti-noise performance. |
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| id | doaj.art-8aca2bdadbe54aa7a27029cc8ae181a1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:02:42Z |
| publishDate | 2022-09-01 |
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| spelling | doaj.art-8aca2bdadbe54aa7a27029cc8ae181a12023-11-23T19:46:38ZengMDPI AGApplied Sciences2076-34172022-09-011219984810.3390/app12199848Identification of Vehicle Loads on an Orthotropic Deck Steel Box Beam Bridge Based on Optimal Combined Strain Influence LinesCheng-Yao Li0Chao Wang1Qing-Xiang Yang2Tian-Yu Qi3School of Civil, Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaSchool of Civil, Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaSchool of Civil, Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaSchool of Civil, Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaVehicles are critical living loads to bridge structure; thus, identifying vehicle loads is very important for structural health monitoring and safety evaluations. This paper proposed a load identification method based on an optimal combined strain influence line. Firstly, two types of strain gauges were arranged at the lower edge of a deck to monitor the strain response when vehicles cross the deck. One type of sensor was installed at the lower edge of the deck between U-ribs to detect axle information, including the number of axles, wheelbase, and vehicle speed. The other type of sensor was set on the lower edge of U-ribs to identify the axle’s weight. Secondly, structural responses under the vehicle load with known weights across the bridge was used to identify the strain influence line by using least square method. Because the local mechanical characteristic of the deck was very prominent under the wheel load, the strain influence line was short and susceptible to the transverse position of the vehicle. An index of variation coefficient is proposed as the object function, and an optimal combined strain influence line was developed using a genetic algorithm to decrease the influence of the transverse position of the load. Finally, the unknown vehicle load can be identified based on a calibrated combined strain influence line. A numerical simulation and an experimental test were carried out to validate the effectiveness and anti-noise performance of the proposed method. The identified results showed that the proposed algorithm has good accuracy and anti-noise performance.https://www.mdpi.com/2076-3417/12/19/9848load identificationstrain influence linegenetic algorithmorthotropic steel box beamB-WIM |
| spellingShingle | Cheng-Yao Li Chao Wang Qing-Xiang Yang Tian-Yu Qi Identification of Vehicle Loads on an Orthotropic Deck Steel Box Beam Bridge Based on Optimal Combined Strain Influence Lines Applied Sciences load identification strain influence line genetic algorithm orthotropic steel box beam B-WIM |
| title | Identification of Vehicle Loads on an Orthotropic Deck Steel Box Beam Bridge Based on Optimal Combined Strain Influence Lines |
| title_full | Identification of Vehicle Loads on an Orthotropic Deck Steel Box Beam Bridge Based on Optimal Combined Strain Influence Lines |
| title_fullStr | Identification of Vehicle Loads on an Orthotropic Deck Steel Box Beam Bridge Based on Optimal Combined Strain Influence Lines |
| title_full_unstemmed | Identification of Vehicle Loads on an Orthotropic Deck Steel Box Beam Bridge Based on Optimal Combined Strain Influence Lines |
| title_short | Identification of Vehicle Loads on an Orthotropic Deck Steel Box Beam Bridge Based on Optimal Combined Strain Influence Lines |
| title_sort | identification of vehicle loads on an orthotropic deck steel box beam bridge based on optimal combined strain influence lines |
| topic | load identification strain influence line genetic algorithm orthotropic steel box beam B-WIM |
| url | https://www.mdpi.com/2076-3417/12/19/9848 |
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