Hybrid Evaluation Method of Bridge Bearing Capacity

Authors

  • Pengzhen Lu Zhejiang University of Technology, Hangzhou 310014, Zhejiang Province, China https://orcid.org/0000-0003-4608-9648
  • Said M. Easa Department of Civil Engineering, Ryerson University, Toronto, Ontario M5B 2K3, Canada https://orcid.org/0000-0003-0754-138X
  • Ying Wu Jiaxing Nanhu University, Jiaxing 314001, Zhejiang Province, China
  • Zhenyi Qi Zhejiang University of Technology, Hangzhou 310014, Zhejiang Province, China
  • Yizhou Zhuang Zhejiang University of Technology, Hangzhou 310014, Zhejiang Province, China

DOI:

https://doi.org/10.7250/bjrbe.2024-19.643

Keywords:

Load-bearing capacity of bridge, repair and strengthening, dynamic and static loading, finite- element model

Abstract

This study proposes a new method to assess the bearing capacity of similar bridges while avoiding the disadvantages of costly static loading tests. First, we present a detailed evaluation of the bearing capacity for a repaired pre-stressed concrete continuous-beam bridge following a ship collision. We have developed a finite element model, modified it, and combined with two other methods to evaluate its bearing capacity. The first method proposed is the bridge design code-based method, where the bearing capacity is assessed using specified design parameters. The second is the field test-based method, where the bearing capacity is evaluated using field tests combined with structural appearance observation. Considering the relative merits of these two methods, a new and improved method for bearing capacity evaluation is proposed and implemented by combining the design code, finite element model, and field loading tests. The innovation and contribution of this paper lie in obtaining modal parameters through a convenient dynamic load test to predict the static behaviour of the bridge structure based on the modified finite element model. Based on the dynamic test results, the static behaviour of the bridge, predicted by the modified finite element analysis, and the appearance test data of the bridge structure, the bearing capacity of the bridge structure is evaluated.

Supporting Agencies
Science and Technology Project of Zhejiang Provincial Department of Transportation (Grant No. 2018010, 2019H17 and 2019H14), Scientific Research Fund of Zhejiang Provincial Education Department (Grant No. Y202250418), Science and Technology Agency of Zhejiang Province (Grant No. LTGG23E080006), Jiaxing Science and Technology Bureau of China under Grant (2023AY11020), National Natural Science Foundation of China (52208217), Science Foundation of China (Postdoctoral Grant No. 2016M600352), Zhejiang Key Laboratory of Civil Engineering Structures & Disaster Prevention and Mitigation Technology, Engineering Research Centre of the Ministry of Education for Renewable Energy Infrastructure Construction Technology

References

AASHTO. (1991). Guide specification and commentary for vessel collision design of highway bridges. American Association of State Highways and Transportation Officials, Washington, D. C.

Bennati, S., Colonna, D., and Valvo, P. S. (2016). Evaluation of the increased load bearing capacity of steel beams strengthened with prestressed FRP laminates. Frattura ed Integrità Strutturale, 10(38), 377–391. https://doi.org/10.3221/IGF-ESIS.38.47 DOI: https://doi.org/10.3221/IGF-ESIS.38.47

CIHS. (1982). Test method of long-span concrete bridge. People’s Communications Press, Beijing, China (YC4-4 /1978) China Institute of Highway Science (in Chinese).

Gholipour, G., Zhang, C., and Mousavi, A. A. (2018). Effects of axial load on nonlinear response of RC columns subjected to lateral impact load: Ship-pier collision. Engineering Failure Analysis, 91, 397–418. https://doi.org/10.1016/j.engfailanal.2018.04.055 DOI: https://doi.org/10.1016/j.engfailanal.2018.04.055

Gluver, H., and Olsen, D. (1998). Ship collision analysis. Proceedings of the International Symposium on Advances in Ship Collision Analysis, Routledge, Copenhagen, Denmark.

Jamali, S., Chan, T., Nguyen, A., and Thambiratnam, D. (2019). Reliability-based load-carrying capacity assessment of bridges using structural health monitoring and nonlinear analysis. Structural Health Monitoring, 18(1), 20–34. https://doi.org/10.1177/1475921718808462 DOI: https://doi.org/10.1177/1475921718808462

Kamiński, T., and Bień, J. (2013). Application of kinematic method and FEM in analysis of ultimate load bearing capacity of damaged masonry arch bridges. Procedia Engineering, 57, 524–32. https://doi.org/10.1016/j.proeng.2013.04.067 DOI: https://doi.org/10.1016/j.proeng.2013.04.067

Kim, H. J., Kim, H. K., and Park, J. Y. (2013). Reliability-based evaluation of load carrying capacity for a composite box girder bridge. KSCE Journal of Civil Engineering, 17, 575–583. https://doi.org/10.1007/s12205-013-0603-7 DOI: https://doi.org/10.1007/s12205-013-0603-7

Kovács, N., Kövesdi, B., Dunai, L., and Takácz, B. (2016). Loading test of the Rákóczi Danube Bridge in Budapest. Procedia Engineering, 156, 191–198. https://doi.org/10.1016/j.proeng.2016.08.286 DOI: https://doi.org/10.1016/j.proeng.2016.08.286

Lan, Y., Lin, W., and Zhang, Y. (2023). Bridge frequency identification using multiple sensor responses of an ordinary vehicle. International Journal of Structural Stability and Dynamics, 23(5), Article 2350056. https://doi.org/10.1142/S0219455423500566 DOI: https://doi.org/10.1142/S0219455423500566

Larsen, O. D. (1993). Ship collision with bridges: The interaction between vessel traffic and bridge structures. International Association for Bridge and Structural Engineering, 4, 119–131. https://doi.org/10.2749/sed004 DOI: https://doi.org/10.2749/sed004

Li, Y. D. (1996). Evaluation of bridge load-carrying capacity based on design code. Journal of Bridge Construction, 2, 61–63 (in Chinese).

Lu, P., Li, D., Wu, Y., Chen, Y., and Wang, J. (2023). Static behavior prediction of concrete truss arch bridge based on dynamic test data and Bayesian inference. International Journal of Structural Stability and Dynamics, 24(9), Article 2450095. https://doi.org/10.1142/S0219455424500950 DOI: https://doi.org/10.1142/S0219455424500950

Liang, Y. Z., and Xiong, F. (2020). Measurement-based bearing capacity evaluation for small and medium span bridges. Measurement, 149, Article 106938. https://doi.org/10.1016/j.measurement.2019.106938 DOI: https://doi.org/10.1016/j.measurement.2019.106938

Liu, H., Li, B., Sun, Y. Q., Dou, X. Z., Zhang, Y. F., and Fan, X. H. (2021). Safety evaluation of large-size transportation bridges based on combination weighting fuzzy comprehensive evaluation method. IOP Conference Series: Earth and Environmental Science, 787(1), Article 012194. https://doi.org/10.1088/1755-1315/787/1/012194 DOI: https://doi.org/10.1088/1755-1315/787/1/012194

Liu, K., Yang, G., and Yang, K. (2014). Research and analysis of ship-bridge collision. Applied Mechanics and Materials, 638–640, 973–976. https://doi.org/10.4028/www.scientific.net/AMM.638-640.973 DOI: https://doi.org/10.4028/www.scientific.net/AMM.638-640.973

Liu, X. L., Zhang, X. M., and Wang, Y. D. (2018). A rapid detection method for bridges based on impact coefficient of standard bumping. Mathematical Problems in Eng., 2018, 1–14. https://doi.org/10.1155/2018/9195289 DOI: https://doi.org/10.1155/2018/9195289

Lu, P. Z., Pan, J. P., Hong, T., Li, D. G., and Chen, Y. R. (2020). Prediction method of bridge static deformation based on dynamic test. Structural Concrete, 21(6), 2533–2548. https://doi.org/10.1002/suco.202000016 DOI: https://doi.org/10.1002/suco.202000016

Ma, Q. L., Zhou, J. T., Ullah, S., and Wang, Q. (2019). Operational modal analysis of rigid frame bridge with data from navigation satellite system measurements. Cluster Computing, 22, 5535–5545. https://doi.org/10.1007/s10586-017-1360-z DOI: https://doi.org/10.1007/s10586-017-1360-z

Martinelli, P., Galli, A., Braazzetti, L., Colombo, M., Felicetti, R., and Previtali, M. (2018). Bearing capacity assessment of a 14th-century arch bridge in Lecco (Italy). International Journal of Architectural Heritage, 12(2), 237–256. https://doi.org/10.1080/15583058.2017.1399482 DOI: https://doi.org/10.1080/15583058.2017.1399482

Melchers, R. E. (2001). Assessment of existing structures approaches and research needs. Journal of Structural Engineering, 127(4), 406–411. https://doi.org/10.1061/(ASCE)0733-9445(2001)127:4(406) DOI: https://doi.org/10.1061/(ASCE)0733-9445(2001)127:4(406)

MTPRC. (2011). Specification for inspection and evaluation of the load-bearing capacity of highway bridges (JTG/TJ21-2011). Ministry of Transportation of the People’s Republic of China People’s Communications Press, Beijing, China (in Chinese).

MTPRC. (2012). Code for the design of highway reinforced concrete and prestressed concrete bridges and culverts (JTG D62-2012), Ministry of Transportation of the People’s Republic of China People’s Communications Press, Beijing, China (in Chinese).

MTPRC. (2018). Code for the design of highway reinforced concrete and prestressed concrete bridges and culverts (JTG 3362-2018), Ministry of Transportation of the People’s Republic of China People’s Communications Press, Beijing, China (in Chinese).

Monique, H. H. (2021). Bridge load rating and evaluation using digital image measurements (Final Report 03/18/2019 – 12/18/2021). Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems, University of Delaware. https://rosap.ntl.bts.gov/view/dot/68361

Nieto, C. C., Shan, Y. W., Lewis, P., and Hartell, J. A.(2019). Bridge maintenance prioritization using analytic hierarchy process and fusion tables. Automation in Construction, 101, 99–110. https://doi.org/10.1016/j.autcon.2019.01.016 DOI: https://doi.org/10.1016/j.autcon.2019.01.016

Omar, T., Nehdi, M. L., and Zayed, T. (2017). Integrated condition rating model for reinforced concrete bridge decks. Journal of Performance of Constructed Facilities, 31(5), Article 04017090. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001084 DOI: https://doi.org/10.1061/(ASCE)CF.1943-5509.0001084

Papayianni, I., Papanikolaou, V. K., Andreopoulos, T. D., and Glykofrydis, D. (2016). Assessment of the bearing capacity of an old concrete bridge. Structural Faults & Repair Conference, Edinburgh. https://www.researchgate. net/publication/309668873_Assessment_of_the_bearing_capacity_of_an_ old_concrete_bridge

Peng, K. K. (2019). Risk evaluation for bridge engineering based on cloud-clustering group decision method. Journal of Performance of Constructed Facilities, 33(1), Article 04018105. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001255 DOI: https://doi.org/10.1061/(ASCE)CF.1943-5509.0001255

Sha, Y., Amdahl, J., and Drum C. (2021). Numerical and analytical studies of ship deckhouse impact with steel and RC bridge girders. Engineering Structures, 234, Article 111868. https://doi.org/10.1016/j.engstruct.2021.111868 DOI: https://doi.org/10.1016/j.engstruct.2021.111868

Sobhani, E., and Masoodi, A. R. (2023). Differential quadrature technique for frequencies of the coupled circular arch-arch beam bridge system. Mechanics of Advanced Materials and Structures, 30(4), 770–781. https://doi.org/10.1080/15376494.2021.2023920 DOI: https://doi.org/10.1080/15376494.2021.2023920

Sudath, C. S. (2015). Vibration measurement-based simple technique for damage detection of truss bridges: A case study. Case Studies in Engineering Failure Analysis, 4, 50–58. https://doi.org/10.1016/j.csefa.2015.08.001 DOI: https://doi.org/10.1016/j.csefa.2015.08.001

Wan, Y. L., Zhu, L., and Fang, H. (2019). Experimental testing and numerical simulations of ship impact on axially loaded reinforced concrete piers. International Journal of Impact Engineering, 125, 246–262. https://doi.org/10.1016/j.ijimpeng.2018.11.016 DOI: https://doi.org/10.1016/j.ijimpeng.2018.11.016

Weinstein, J. C., Sanayei, M., and Brenner, B. R. (2018). Bridge damage identification using artificial neural networks. Journal of Bridge Engineering, 23(11), Article 04018084. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001302 DOI: https://doi.org/10.1061/(ASCE)BE.1943-5592.0001302

Wu, B. T., Wu, G., Lu, H. X., and Feng, D. C. (2017). Stiffness monitoring and damage assessment of bridges under moving vehicular loads using spatially distributed optical fiber sensors. Smart Materials and Structures, 26(3), Article 035058. https://doi.org/10.1088/1361-665X/aa5c6f DOI: https://doi.org/10.1088/1361-665X/aa5c6f

Xie X., Yang T. Y. (2020). Performance evaluation of Chinese high-speed railway bridges under seismic loads. International Journal of Structural Stability and Dynamics, 20(5), Article 2050066. https://doi.org/10.1142/S0219455420500662 DOI: https://doi.org/10.1142/S0219455420500662

Xu, Y. F., Wang, H. L., and Zhang, L.Q. (2015). Research on safety assessment method for bridge structure based on variable weight synthesis method. Perspectives in Science, 7, 200–203. https://doi.org/10.1016/j.pisc.2015.11.033 DOI: https://doi.org/10.1016/j.pisc.2015.11.033

Zhou, X., Zhang, X. (2019). Thoughts on the development of bridge technology in China. Engineering, 5(6), 1120–1130. https://doi.org/10.1016/j.eng.2019.10.001 DOI: https://doi.org/10.1016/j.eng.2019.10.001

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Published

24.09.2024

How to Cite

Lu, P., M. Easa, S., Wu, Y., Qi, Z., & Zhuang, Y. (2024). Hybrid Evaluation Method of Bridge Bearing Capacity. The Baltic Journal of Road and Bridge Engineering, 19(3), 69-101. https://doi.org/10.7250/bjrbe.2024-19.643