Study on Vehicle Load Model of Baijianhe Bridge
In order to calculate the vehicle load model of Baijianhe Bridge, based on the vehicle load data of the health monitoring system, the vehicle type, vehicle weight, wheelbase, and other information were counted and the data were processed and diagraphed to obtain the probability density distribution....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/7523590 |
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| author | Zeying Yang Yinglin Sun Jianbo Qu Chenghe Wang Tianmin Wang |
| author_facet | Zeying Yang Yinglin Sun Jianbo Qu Chenghe Wang Tianmin Wang |
| author_sort | Zeying Yang |
| collection | DOAJ |
| description | In order to calculate the vehicle load model of Baijianhe Bridge, based on the vehicle load data of the health monitoring system, the vehicle type, vehicle weight, wheelbase, and other information were counted and the data were processed and diagraphed to obtain the probability density distribution. At the same time, the automobile load model parameters relative to the national current code and finite element method are calculated. The results show that 2-axle and 6-axle vehicles are the main vehicle types, accounting for about 48%. The number of upstream and downstream vehicles is the same, but the number of vehicles in the lane is much higher than in the overtaking lane. The carriageway is dominated by 6-axle vehicles, while the overtaking lane is dominated by 2-axle vehicles. The probability density distribution of vehicle weight in overtaking lane obeys mixed Gaussian distribution and that in the carriageway obeys Weibull distribution. According to the measured vehicle load data, the vehicle load suitable for Baijianhe Bridge is 1.1 times the highway-I vehicle load of the current Chinese standard “General Code for Design of Highway Bridges and Culvers” (JTG D60-2015). |
| format | Article |
| id | doaj-art-35088abbe66b4f2eb81e6be7b6f5c9ab |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-35088abbe66b4f2eb81e6be7b6f5c9ab2025-02-03T05:57:54ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/7523590Study on Vehicle Load Model of Baijianhe BridgeZeying Yang0Yinglin Sun1Jianbo Qu2Chenghe Wang3Tianmin Wang4Shandong UniversityShandong UniversityShandong Transportation Service CenterShandong UniversityShandong Transportation Planning and Design Institute Group Co LtdIn order to calculate the vehicle load model of Baijianhe Bridge, based on the vehicle load data of the health monitoring system, the vehicle type, vehicle weight, wheelbase, and other information were counted and the data were processed and diagraphed to obtain the probability density distribution. At the same time, the automobile load model parameters relative to the national current code and finite element method are calculated. The results show that 2-axle and 6-axle vehicles are the main vehicle types, accounting for about 48%. The number of upstream and downstream vehicles is the same, but the number of vehicles in the lane is much higher than in the overtaking lane. The carriageway is dominated by 6-axle vehicles, while the overtaking lane is dominated by 2-axle vehicles. The probability density distribution of vehicle weight in overtaking lane obeys mixed Gaussian distribution and that in the carriageway obeys Weibull distribution. According to the measured vehicle load data, the vehicle load suitable for Baijianhe Bridge is 1.1 times the highway-I vehicle load of the current Chinese standard “General Code for Design of Highway Bridges and Culvers” (JTG D60-2015).http://dx.doi.org/10.1155/2022/7523590 |
| spellingShingle | Zeying Yang Yinglin Sun Jianbo Qu Chenghe Wang Tianmin Wang Study on Vehicle Load Model of Baijianhe Bridge Advances in Civil Engineering |
| title | Study on Vehicle Load Model of Baijianhe Bridge |
| title_full | Study on Vehicle Load Model of Baijianhe Bridge |
| title_fullStr | Study on Vehicle Load Model of Baijianhe Bridge |
| title_full_unstemmed | Study on Vehicle Load Model of Baijianhe Bridge |
| title_short | Study on Vehicle Load Model of Baijianhe Bridge |
| title_sort | study on vehicle load model of baijianhe bridge |
| url | http://dx.doi.org/10.1155/2022/7523590 |
| work_keys_str_mv | AT zeyingyang studyonvehicleloadmodelofbaijianhebridge AT yinglinsun studyonvehicleloadmodelofbaijianhebridge AT jianboqu studyonvehicleloadmodelofbaijianhebridge AT chenghewang studyonvehicleloadmodelofbaijianhebridge AT tianminwang studyonvehicleloadmodelofbaijianhebridge |