Open Access

Research on Intelligent Inspection Method of Prestressed Bridge Engineering Based on Machine Learning

, ,  and   
Sep 03, 2024

Cite
Download Cover

Abdel‐Jaber, H., & Glisic, B. (2019). Monitoring of prestressing forces in prestressed concrete structures—An overview. Structural Control and Health Monitoring, 26(8), e2374. Search in Google Scholar

Kaur, H., & Singh, J. (2017). A review on external prestressing in concrete. Int. Res. J. Eng. Technol, 4, 1801-1805. Search in Google Scholar

Kraľovanec, J., Bahleda, F., Prokop, J., Moravčík, M., & Neslušan, M. (2021). Verification of actual prestressing in existing pre-tensioned members. Applied Sciences, 11(13), 5971. Search in Google Scholar

Zdanowicz, K., Kotynia, R., & Marx, S. (2019). Prestressing concrete members with fibre‐reinforced polymer reinforcement: State of research. Structural Concrete, 20(3), 872-885. Search in Google Scholar

Joshi, S., Hamilton, M., Warren, R., Faucett, D., Tian, W., Wang, Y., & Ma, J. (2021). Implementing Virtual Reality technology for safety training in the precast/prestressed concrete industry. Applied ergonomics, 90, 103286. Search in Google Scholar

Dabous, S. A., & Feroz, S. (2020). Condition monitoring of bridges with non-contact testing technologies. Automation in Construction, 116, 103224. Search in Google Scholar

Wang, C., Yu, X., & Liang, F. (2017). A review of bridge scour: mechanism, estimation, monitoring and countermeasures. Natural Hazards, 87, 1881-1906. Search in Google Scholar

Reagan, D., Sabato, A., & Niezrecki, C. (2018). Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges. Structural Health Monitoring, 17(5), 1056-1072. Search in Google Scholar

Zheng, Y., Wang, S., Zhang, P., Xu, T., & Zhuo, J. (2022). Application of nondestructive testing technology in quality evaluation of plain concrete and RC structures in bridge engineering: A review. Buildings, 12(6), 843. Search in Google Scholar

Li, T., Cong, B., Yan, M., Li, Q., & Zhu, X. (2023). Safety BIM intelligent modeling analysis of prestressed concrete continuous girder bridge construction scene. Bridge Structures, 19(1-2), 31-39. Search in Google Scholar

Shi, D., & Zhang, L. (2021, May). Research on application of intelligent prestressed construction technology based on computer software analysis. In Journal of Physics: Conference Series (Vol. 1915, No. 2, p. 022019). IOP Publishing. Search in Google Scholar

Shim, C. S., Dang, N. S., Lon, S., & Jeon, C. H. (2019). Development of a bridge maintenance system for prestressed concrete bridges using 3D digital twin model. Structure and Infrastructure Engineering, 15(10), 1319-1332. Search in Google Scholar

Jeon, C. H., Shim, C. S., Lee, Y. H., & Schooling, J. (2024). Prescriptive maintenance of prestressed concrete bridges considering digital twin and key performance indicator. Engineering Structures, 302, 117383. Search in Google Scholar

Khandel, O., Soliman, M., Floyd, R. W., & Murray, C. D. (2021). Performance assessment of prestressed concrete bridge girders using fiber optic sensors and artificial neural networks. Structure and Infrastructure Engineering, 17(5), 605-619. Search in Google Scholar

Language:
English