Standardization construction and development trend of bridge health monitoring systems in China
Tóm tắt
Bridge health monitoring (BHM) technology has been widely accepted as a powerful tool to assess structural performance and has moved from research to practice. Driven by the enormous demand of ensuring bridge safety, the application of BHM technology is particularly active in China and has become an emerging industry in the civil engineering community. It is a common belief among civil engineers that the development and implementation of industry standards will be of paramount importance in guiding the healthy development of BHM and increasing the transfer of professional knowledge and techniques to practical applications. This paper presents a comprehensive overview of the standardization construction and development trend for BHM in China. The achievements, characteristics, and challenges of China’s bridge construction are first introduced. Then, the existing problems of BHM and the necessity of constructing the standardization system for the BHM industry are discussed. Following that, these standards published for guiding BHM system design, construction, management, and maintenance, especially sensor selection, sensor placement, sensor installation, data transmission, data storage, data processing, and early warning, are outlined. Finally, work requiring further efforts in the near future is drawn.
Tài liệu tham khảo
Aktan AE, Catbas FN, Grimmelsman KA, Tsikos CJ (2000) Issues in infrastructure health monitoring for management. J Eng Mech 126(7):711–724
Azimi M, Eslamlou AD, Pekcan G (2020) Data-driven structural health monitoring and damage detection through deep learning: state-of-the-art review. Sensors 20(10):2778. https://doi.org/10.3390/s20102778
Hao S (2010) I-35W bridge collapse. J Bridg Eng 15(5):608–614
Huang T, Zheng YH, Wu HL, Wang CJ (2003) Structural safety monitoring system for the second Nanjing Yangtze River bridge. J Hohai Univ 31(4):411–416 [in Chinese]
Ko JM, Ni YQ (2005) Technology developments in structural health monitoring of large-scale bridges. Eng Struct 27(12):1715–1725
Lam HF, Yang JH, Au SK (2018) Markov chain Monte Carlo-based Bayesian method for structural model updating and damage detection. Struct Control Health Monit 25(4):e2140
Li AQ, Miao CQ, Zhao L (2003) The health monitoring system for the Runyang Yangtze River bridge. In: Wu ZS, Abe M (eds) 1st international conference on structural health monitoring and intelligent infrastructure, Tokyo, Japan, 2003
Li HN, Ren L, Jia ZG, Yi TH, Li DS (2016) State-of-the-art in structural health monitoring of large and complex civil infrastructures. J Civ Struct Health 6(1):3–16
Li J, Hao H (2016) A review of recent research advances on structural health monitoring in Western Australia. Struct Monit Maintenance 3(1):33–49
Moore M, Phares BM, Graybeal B, Rolander D, Washer G, Wiss J (2001) Reliability of visual inspection for highway bridges, volume I: final report (no. FHWA-RD-01-020). Washington, D.C: U.S Department of Transportation, Federal Highway Administration, turner-Fairbank highway research center
Nagarajaiah S, Erazo K (2016) Structural monitoring and identification of civil infrastructure in the United States. Struct Monit Maintenance 3(1):51–69
Ou J, Li H (2004) Recent advances of structural health monitoring in mainland China. In: Paper presented at the 3rd international conference on structural health monitoring of intelligent infrastructure, Vancouver, Canada, 13-16 November, 2007
Phares BM, Rolander DD, Graybeal BA, Washer GA (2000) Studying the reliability of bridge inspection. Public Roads 64(3):15–19
Xu YL (2018) Making good use of structural health monitoring systems of long-span cable-supported bridges. J Civ Struct Health 8(3):477–497
Zhen W, Zhen G, Li Q, Zhang Y (2018) Research on structural health monitoring system of Ma'anshan Yangtze River highway bridge. Highway Traffic Technol (Application Technology Edition) 5:233–235 (in Chinese)
Zhou GD, Yi TH (2013) Recent developments on wireless sensor networks technology for bridge health monitoring. Math Problems Eng 2013:947867
Zhou GD, Yi TH, Chen B (2017) Innovative design of a health monitoring system and its implementation in a complicated long-span arch bridge. J Aerospace Eng 30(2):B4016006
Zhou GD, Yi TH, Chen B, Chen X (2018) Modeling deformation induced by thermal loading using long-term bridge monitoring data. J Perform Constr Facil 32(3):04018011
Zhou X, Zhang X (2019) Thoughts on the development of bridge technology in China. Engineering 5(6):1120–1130