Deformation monitoring and analysis of a long-span cable-stayed bridge during strong typhoons

Advances in Bridge Engineering - Tập 1 - Trang 1-19 - 2020
Jianxiao Mao1, Hao Wang1, Yichao Xu1,2, Hang Li3
1Key Laboratory of C&PC Structures of Ministry of Education, Southeast University, Nanjing, China
2State Key Laboratory of Safety and Health for In-Service Long Span Bridges, Nanjing, China
3Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, USA

Tóm tắt

Deformation monitoring of the girders and towers during strong winds or typhoons is vitally important for serviceability and safety assessment of in-service long-span bridges. Although some field measurements were carried out, our understanding on the features of the bridge deformation during high-speed winds is still limited; therefore, more monitoring-based studies are still required. In this study, the displacements of a long-span cable-stayed bridge during three typhoons are recorded by the Global Positioning System (GPS) in its Structural Health Monitoring (SHM) system. The monitored displacements are decomposed into static and dynamic components using the autoregressive moving average model. The outliers and the low-frequency colored noise in the dynamic components are then analyzed and eliminated. On that basis, the relationship between the static displacements and environmental factors, in terms of wind and temperature, is investigated. Afterwards, the variation of dynamic displacements of the bridge is analyzed with respect to the surrounding environments. Results show that the structural temperature is the major reason that changes the static deformation of the bridge. The dynamic deformation of the girder is mainly controlled by the in-situ wind speed. Nevertheless, the influence of structural temperature on dynamic deformation is mildly. Conclusions are aimed to provide a reference for wind resistant design and assessment of similar long-span bridges.

Tài liệu tham khảo

Ashkenazi, V., & Roberts, G. (1997). Experimental monitoring of the Humber bridge using Gps. Proceedings of the Institution of Civil Engineers-Civil Engineering Billah KY, Scanlan RH (1991) Resonance, Tacoma narrows bridge failure, and undergraduate physics textbooks. Am J Phys 59(2):118–124 CMA. (2012). Available from Chinese Typhoon Online, from China Meteorological Administration (CMA) http://www.typhoon.org.cn/ Feng D, Feng MQ (2016) Vision-based multipoint displacement measurement for structural health monitoring. Struct Control Health Monit 23(5):876–890 Fujino Y, Siringoringo DM, Abe M (2016) Japan's experience on long-span bridges monitoring. Struct Monit Maintenance 3(3):233–257 Fujino Y, Yoshida Y (2002) Wind-induced vibration and control of trans-Tokyo Bay crossing bridge. J Struct Eng 128(8):1012–1025 Gomez F, Park JW, Spencer BF Jr (2018) Reference-free structural dynamic displacement estimation method. Struct Control Health Monit 25(8):e2209 Hao J, Wu T (2018) Downburst-induced transient response of a long-span bridge: a Cfd-Csd-based hybrid approach. J Wind Eng Ind Aerodyn 179:273–286 Huang G, Chen X (2009) Wavelets-based estimation of multivariate evolutionary spectra and its application to nonstationary downburst winds. Eng Struct 31(4):976–989 Hwang YC, Kim S, Kim HK (2019) Cause investigation of high-mode vortex-induced vibration in a long-span suspension bridge. Struct Infrastructure Eng 16(1):84–93 Im SB, Hurlebaus S, Kang YJ (2011) Summary review of Gps Technology for Structural Health Monitoring. J Struct Eng 139(10):1653–1664 Jo H, Sim SH, Tatkowski A, Spencer B Jr, Nelson ME (2013) Feasibility of displacement monitoring using low-cost Gps receivers. Struct Control Health Monit 20(9):1240–1254 Kenney JF, Keeping E (1962) Linear regression and correlation. Math Stat 1:252–285 Ko J, Ni Y (2005) Technology developments in structural health monitoring of large-scale bridges. Eng Struct 27(12):1715–1725 Mao JX, Wang H, Fu YG, Spencer BF (2019a) Automated modal identification using principal component and cluster analysis: application to a long-span cable-stayed bridge. Struct Control Health Monit 26(10):e2430 Mao JX, Wang H, Li J (2019b) Fatigue reliability assessment of a long-span cable-stayed bridge based on one-year monitoring strain data. J Bridg Eng 24(1):05018015 Miyata T, Yamada H, Katsuchi H, Kitagawa M (2002) Full-scale measurement of Akashi–Kaikyo bridge during typhoon. J Wind Eng Ind Aerodyn 90(12–15):1517–1527 Mufti AA (2002) Structural health monitoring of innovative Canadian civil engineering structures. Struct Health Monit 1(1):89–103 Nassif HH, Gindy M, Davis J (2005) Comparison of laser Doppler Vibrometer with contact sensors for monitoring bridge deflection and vibration. Ndt E Int 38(3):213–218 Ou JP, Li H (2010) Structural health monitoring in mainland China: review and future trends. Struct Health Monit 9(3):219–231 Spencer BF, Ruiz-Sandoval ME, Kurata N (2004) Smart sensing technology: opportunities and challenges. Struct Control Health Monit 11(4):349–368 Sun Z, Zou Z, Zhang Y (2017) Utilization of structural health monitoring in long-span bridges: case studies. Struct Control Health Monit 24(10):e1979 Wang H, Mao JX, Huang JH, Li A (2016a) Modal identification of Sutong cable-stayed bridge during typhoon Haikui using wavelet transform method. J Perform Constr Facil 30(5):04016001 Wang H, Tao T, Li A, Zhang Y (2016b) Structural health monitoring system for Sutong cable-stayed bridge. Smart Struct Syst 18(2):317–334 Xing CX, Wang H, Li AQ, Xu Y (2014) Study on wind-induced vibration control of a long-span cable-stayed bridge using Tmd-type counterweight. J Bridg Eng 19(1):141–148 Xu FY, Chen XZ, Cai CS, Chen AR (2012) Determination of 18 flutter derivatives of bridge decks by an improved stochastic search algorithm. J Bridg Eng 17(4):576–588 Xu Y, Chen B, Ng C, Wong K, Chan W (2010) Monitoring temperature effect on a long suspension bridge. Struct Control Health Monit 17(6):632–653 Xu, Y. L., & Chan, W. S. (2009). Wind and Structural Monitoring of Long Span Cable-Supported Bridges with Gps. The 7th Asia-Pacific conference on wind engineering (APCWE09) Xu YL, Chen J (2004) Characterizing nonstationary wind speed using empirical mode decomposition. J Struct Eng 130(6):912–920 Yi TH, Li HN, Gu M (2013a) Experimental assessment of high-rate Gps receivers for deformation monitoring of bridge. Measurement 46(1):420–432 Yi TH, Li HN, Gu M (2013b) Recent research and applications of Gps-based monitoring Technology for High-Rise Structures. Struct Control Health Monit 20(5):649–670 Zhang W, Cai C, Pan F, Zhang Y (2014) Fatigue life estimation of existing bridges under vehicle and non-stationary hurricane wind. J Wind Eng Ind Aerodyn 133:135–145 Zhang Y, Wang H, Mao J, Wang F, Hu S, Zhao X (2018) Monitoring-based assessment of the construction influence of Benoto pile on adjacent high-speed railway bridge: case study. J Perform Constr Facil 33(1):04018106 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 Y, Sun LM (2019a) A comprehensive study of the thermal response of a long-span cable-stayed bridge: from monitoring phenomena to underlying mechanisms. Mech Syst Signal Process 124:330–348 Zhou Y, Sun LM (2019b) Insights into temperature effects on structural deformation of a cable-stayed bridge based on structural health monitoring. Struct Health Monit 18(3):778–791 Zhu J, Zhang W (2016) Numerical simulation of wind and wave fields for coastal slender bridges. J Bridg Eng 22(3):04016125 Zhu LD, Li L, Xu YL, Zhu Q (2012) Wind tunnel investigations of aerodynamic coefficients of road vehicles on bridge deck. J Fluids Struct 30:35–50