Deformation Analysis and Prediction of a High-Speed Railway Suspension Bridge under Multi-Load Coupling
文献类型:期刊论文
作者 | Liu, Simin1; Jiang, Weiping1; Chen, Qusen1; Wang, Jian1; Tan, Xuyan4; Liu, Ruiqi3; Ye, Zhongtao2 |
刊名 | REMOTE SENSING
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出版日期 | 2024-05-01 |
卷号 | 16期号:10页码:22 |
关键词 | deformation prediction high-speed railway suspension bridge GNSS BP neural network multi-load coupling influencing factor |
DOI | 10.3390/rs16101687 |
英文摘要 | High-speed railway suspension bridges (HSRSBs) have been constructed with the new advancements in technology. The deformation prediction for HSRSBs is essential to their safety and maintenance. The conventional prediction methods are developed for bridges without high-speed railway. Different factors, including temperature (TEMP), time delay compensation (TDC), train live load (TLL), are considered in these methods. However, the train side (TS) and train instantaneous position (TIP) have a significant impact on deformation for HSRSBs, and they are not used in the prediction. More importantly, the coupling issue among different factors is so significant that it cannot be neglected. In this study, we propose a deformation prediction model based on a backpropagation (BP) neural network. This model uses different factors as model input, including TEMP, TDC, TLL, TS, and TIP. The coupling issue is addressed by using the new model. The new model was evaluated using a dataset of 10-day field measurements. It achieves a mean absolute error (MAE) of 8.81 mm, a mean relative error (MRE) of 9.82%, and coefficient of determination (R2) of 0.94. The new model will provide high-precision prediction for deformation and will be used in the development of an early warning system. |
资助项目 | Major Science and Technology Program for Hubei Province |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:001233310700001 |
出版者 | MDPI |
源URL | [http://119.78.100.198/handle/2S6PX9GI/41493] ![]() |
专题 | 中科院武汉岩土力学所 |
通讯作者 | Jiang, Weiping |
作者单位 | 1.Wuhan Univ, GNSS Res Ctr, Wuhan 430072, Peoples R China 2.China Railway Bridge Sci Res Inst Ltd, Wuhan 430034, Peoples R China 3.Wuhan Univ, Sch Comp Sci, Wuhan 430072, Peoples R China 4.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430064, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Simin,Jiang, Weiping,Chen, Qusen,et al. Deformation Analysis and Prediction of a High-Speed Railway Suspension Bridge under Multi-Load Coupling[J]. REMOTE SENSING,2024,16(10):22. |
APA | Liu, Simin.,Jiang, Weiping.,Chen, Qusen.,Wang, Jian.,Tan, Xuyan.,...&Ye, Zhongtao.(2024).Deformation Analysis and Prediction of a High-Speed Railway Suspension Bridge under Multi-Load Coupling.REMOTE SENSING,16(10),22. |
MLA | Liu, Simin,et al."Deformation Analysis and Prediction of a High-Speed Railway Suspension Bridge under Multi-Load Coupling".REMOTE SENSING 16.10(2024):22. |
入库方式: OAI收割
来源:武汉岩土力学研究所
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