Abstract
Structural health monitoring (SHM) technology for surveillance and evaluation of existing and newly built long-span bridges has been widely developed, and the significance of the technique has been recognized by many administrative authorities. The paper reviews the recent progress of the SHM technology that has been applied to long-span bridges. The deployment of a SHM system is introduced. Subsequently, the data analysis and condition assessment including techniques on modal identification, methods on signal processing, and damage identification were reviewed and summarized. A case study about a SHM system of a long-span arch bridge (the Jiubao bridge in China) was systematically incorporated in each part to advance our understanding of deployment and investigation of a SHM system for long-span arch bridges. The applications of SHM systems of long-span arch bridge were also introduced. From the illustrations, the challenges and future trends for development a SHM system were concluded.
Highlights
With the development of economy and society, many long-span bridges have been built or are under construction all over the world, i.e., the Akashi Kaikyo Bridge in Japan, the Sutong Bridge in China, the Chaotianmen Bridge in China [1,2]
Many researches have made the efforts to the parameter identification, damage detection, model updating, safety evaluation and sustainability assessment of long-span bridges by using the data observed from Structural health monitoring (SHM) systems
This study explores the recent progress of the SHM of long-span arch arch bridges
Summary
With the development of economy and society, many long-span bridges have been built or are under construction all over the world, i.e., the Akashi Kaikyo Bridge (suspension bridge, main span 1991 m) in Japan, the Sutong Bridge (main span 1088 m) in China, the Chaotianmen Bridge (arch bridge, main span 552 m) in China [1,2]. Many researches have made the efforts to the parameter identification, damage detection, model updating, safety evaluation and sustainability assessment of long-span bridges by using the data observed from SHM systems. Themultivariate results focusing on theanalysis assessment of the minimum damage methods by using statistical techniques based ondetectable the data observed severity using different are anticipated contribute a more aware use of monitoring data from a SHM system of a techniques long-span arch bridge. 3, Section summarizes the challenges and future trends in the approaches for data analysis, modeling and safety evaluation of long-span arch bridges. Section concludes the main contribution of that a case study about SHM of a long-span arch bridge (Jiubao Bridge in China) is incorporated in the present each sectionstudy.
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