Machine Learning-based Structural Health Monitoring and Condition Assessment for Long-span Bridges

Author(s):  
Hui Li
2014 ◽  
Vol 619 ◽  
pp. 51-59
Author(s):  
Zhi Cheng Tan ◽  
Sheng Qiu ◽  
Yang Liu

This paper reviewed and discussed some key issues of structural health monitoring (SHM) of long-span bridges. Firstly, the current situation of the application of structural health monitoring technique to long-span bridges was summarized in detail. Secondly, starting from the purpose of ensuring the safety of operational bridges, the composition characteristics and functional requirements of structural health monitoring system of long-span bridges were discussed, which include the global design principles of health monitoring system and the design approaches for each subsystem. Finally, some challenges of the technique of SHM were proposed including structural force analysis, the principles of optimized distribution of sensors and the assessment methods of structural damages of bridges etc,.


2014 ◽  
Vol 14 (1) ◽  
pp. 55-70 ◽  
Author(s):  
Rohan N. Soman ◽  
Toula Onoufrioua ◽  
Marios A. Kyriakidesb ◽  
Renos A. Votsisc ◽  
Christis Z. Chrysostomou

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