Research on bridge safety early warning method based on strain energy theory and health monitoring data
Abstract
Bridges are technology-intensive and heavily invested permanent infrastructure. After completion and opening to traffic, bridge structures are easy to be affected by factors such as traffic load and atmospheric environment. Therefore, it is necessary to do safety warning and evaluation of bridges, especially the abnormal behavior in the early stages of bridge operation. In this research paper, a large-span continuous rigid frame bridge installed with the health monitoring system (HMS), of which a large amount of health monitoring data are collected by the HMS, is used as an example, and then a bridge safety early warning method is proposed when the bridge is during early operating period. First of all, the research finding that the internal stress of the prototype bridge obeys normal distribution through statistical analysis is used; next, we deduce that the strain energy inside the prototype bridge is subject to the Non-central Chi-square distribution combined with the strain energy and statistical theories; in the end, the key probability density distribution function of strain energy and its parameters are derived by using the key stress distribution function of the high performance concrete C50 strength grade used in the prototype bridge. The method recommended in this paper is conducive to the formulation of bridge preventive maintenance strategies.
References
Niu D, Wang Q. Model of concrete strength change over time under general atmospheric environment (Chinese). Industrial Buildings. 1995; (6): 36 - 38.
Joan R. Casas Paulo JS. Cruz M. Fiber Optic Sensors for Bridge Monitoring. Journal of Bridge Engineering. 2003; 8(6): 362-373. Doi.org/10.1061/(ASCE)1084-0702(2003)8:6(362)
Li H, Ou J. The state of the art in structural health monitoring of cable-stayed bridges. Journal of Civil Structural Health Monitoring. 2015; 6(1): 43-67. doi: 10.1007/s13349-015-0115-x
Aktan A, Brownjohn J. Structural identification: Opportunities and challenges. J. Struct. Eng. 2013, 139, 1639–1647. doi: 10.1007/s13349-015-0115-x
Deng Y, Ding Y, Li A, et al. Fatigue reliability assessment for bridge welded details using long-term monitoring data. Science China Technological Sciences. 2011; 54(12): 3371-3381. doi: 10.1007/s11431-011-4526-6
Li A, Ding Y, Wang H, et al. Analysis and assessment of bridge health monitoring mass data—progress in research/development of “Structural Health Monitoring.” Science China Technological Sciences. 2012; 55(8): 2212-2224. doi: 10.1007/s11431-012-4818-5
Chen Z, Zhou X, Wang X, et al. Deployment of a Smart Structural Health Monitoring System for Long-Span Arch Bridges: A Review and a Case Study. Sensors. 2017; 17(9): 2151. doi: 10.3390/s17092151
Liu Z, Li YH, Tang L, et al. Localized reliability analysis on a large-span rigid frame bridge based on monitored strains from the long-term SHM system. Smart Structures & Systems, 2014, 14(2): 209-224. doi:10.12989/sss.2014.14.2.209
Li Y, Peng K, He J, et al. Maintenance Management Research of a Large-span Continuous Rigid Frame Bridge Based on Reliability Assessment by Using Strain Monitored Data. Journal of Architectural Environment & Structural Engineering Research. 2021; 4(2): 20-31. doi: 10.30564/jaeser.v4i2.3128
Cornwell P, Doebling SW, Farrar CR. Application of the strain energy damage detection method to plate-like structures. Journal of Sound and Vibration. 1999; 224(2): 359-374. doi: 10.1006/jsvi.1999.2163
Liang W, Chan T, Thambiratnam D, et al. Improved correlation-based modal strain energy method for global damage detection of truss bridge structures (Chinese). The International Symposium on Life-Cycle Performance of Bridge and Structures. 2010.
Hu HW, Wang BT, Lee CH. Damage Detection of Surface Crack in Composite Quasi-Isotropic Laminate Using Modal Analysis and Strain Energy Method. Key Engineering Materials. 2006; 306-308: 757-762. doi: 10.4028/www.scientific.net/kem.306-308.757
Hu MH, Tu ST, Xuan FZ, et al. Strain energy numerical technique for structural damage detection. Applied Mathematics and Computation. 2012; 219(5): 2424-2431. doi: 10.1016/j.amc.2012.08.078
Liu H, Zong H. Structural damage Identification of In-service transmission tower based on Wavelet transform and Strain energy (Chinese). In: Proceedings of the 2010 National Conference on Vibration Engineering and Application (the 12th National Conference on Equipment Fault Diagnosis and the 23rd National Conference on Vibration and Noise Control); 9 June 2023. doi: 10.46719/dsa2020296
Nobahari M, Seyedpoor SM. An efficient method for structural damage localization based on the concepts of flexibility matrix and strain energy of a structure. Structural Engineering & Mechanics. 2013; 46(2): 231-244. doi: 10.12989/sem.2013.46.2.231
Seyedpoor SM, Yazdanpanah O. An efficient indicator for structural damage localization using the change of strain energy based on static noisy data. Applied Mathematical Modelling. 2014; 38(9-10): 2661-2672. doi: 10.1016/j.apm.2013.10.072
Moradipour P, Chan THT, Gallage C. Benchmark Studies for Bridge Health Monitoring Using an Improved Modal Strain Energy Method. Procedia Engineering. 2017; 188: 194-200. doi: 10.1016/j.proeng.2017.04.474
Alavinezhad M, Ghodsi Hassanabad M, et al. Damage localization and quantification in the Catwalk of Foroozan offshore complex using improved modal strain energy method. International Journal of Coastal and Offshore Engineering. 2021; 5(2): 11-21. doi: 10.52547/ijcoe.5.2.11
Alavinezhad M, Hassanabad MG, Ketabdari MJ, et al. Numerical and experimental structural damage detection in an offshore flare bridge using a proposed modal strain energy method. Ocean Engineering. 2022; 252: 111055. doi: 10.1016/j.oceaneng.2022.111055
Alavinezhad M, Ghodsi Hassanabad M, Ketabdari M, et al. Structural health monitoring of Foroozan offshore platform using a novel modal strain energy damage index. Marine Systems & Ocean Technology. 2022; 17(1): 1-17. doi: 10.1007/s40868-021-00107-6
National Standards of the People’s Republic of China. Code for design of concrete structures (Chinese). National Standards of the People’s Republic of China; 2010.
National Standards of the People’s Republic of China. Specifications for Design of Highway Reinforced Concrete and Prestressed Concrete Bridges and Culverts (Chinese). National Standards of the People’s Republic of China; 2018.
Bunke O. Statistics: A Journal of Theoretical and Applied Statistics. American Cancer Society. 2004.
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