Digital Integration of Temperature Field of Cable-Stayed Bridge Based on Finite Element Model Updating and Health Monitoring

Guoqiang Zhong (), Yufeng Bi, Jie Song, Kangdi Wang, Shuai Gao, Xiaonan Zhang, Chao Wang, Shang Liu, Zixiang Yue and Chunfeng Wan ()
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Guoqiang Zhong: Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan 250101, China
Yufeng Bi: Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan 250101, China
Jie Song: Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan 250101, China
Kangdi Wang: Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan 250101, China
Shuai Gao: Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing 210096, China
Xiaonan Zhang: Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing 210096, China
Chao Wang: Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan 250101, China
Shang Liu: Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan 250101, China
Zixiang Yue: Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing 210096, China
Chunfeng Wan: Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing 210096, China

Sustainability, 2023, vol. 15, issue 11, 1-22

Abstract: A health monitoring system typically collects and processes data to observe the health status of a bridge. The cost limitations imply that only the measurement point data of a few key points can be obtained; however, the entire bridge monitoring information cannot be established, which significantly interferes with the data integrity of the structural monitoring system. In this study, a solution is proposed for reconstructing the monitoring data of the entire bridge. By updating the finite element (FE) model based on structural thermal analysis, numerical simulation technology, and other methods, the temperature field integration model of a cable-stayed bridge is realized. The temperature spatial expansion method of deep learning is established by using the complete simulated temperature field of the entire bridge based on limited measured temperature data; this data is verified and applied to the main beam and bridge tower, thereby establishing the complete measured temperature field of the whole bridge. This is of great significance in supplementing health monitoring information, allowing for the accurate monitoring and evaluation of the structural safety and service performance of long bridges.

Keywords: finite element; model updating; deep learning; temperature spatial expansion (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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