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Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study

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  • Chongshi Gu

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China)

  • Xiao Fu

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China)

  • Chenfei Shao

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China)

  • Zhongwen Shi

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China)

  • Huaizhi Su

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China)

Abstract

As an important feature, deformation analysis is of great significance to ensure the safety and stability of arch dam operation. In this paper, Jinping-I arch dam with a height of 305 m, which is the highest dam in the world, is taken as the research object. The deformation data representation method is analyzed, and the processing method of deformation spatiotemporal data is discussed. A deformation hybrid model is established, in which the hydraulic component is calculated by the finite element method, and other components are still calculated by the statistical model method. Since the relationship among the measuring points is not taken into account and the overall situation cannot be fully reflected in the hybrid model, a spatiotemporal hybrid model is proposed. The measured values and coordinates of all the typical points with pendulums of the arch dam are included in one spatiotemporal hybrid model, which is feasible, convenient, and accurate. The model can predict the deformation of any position on the arch dam. This is of great significance for real-time monitoring of deformation and stability of Jinping-I arch dam and ensuring its operation safety.

Suggested Citation

  • Chongshi Gu & Xiao Fu & Chenfei Shao & Zhongwen Shi & Huaizhi Su, 2020. "Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study," IJERPH, MDPI, vol. 17(1), pages 1-25, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:1:p:319-:d:304542
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    References listed on IDEAS

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    1. Shaohua Hu & Meixian Qu & Youcui Yuan & Zhenkai Pan, 2024. "Coupling cloud theory and concept hierarchy construction early warning thresholds for deformation safety of tailings dam," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(9), pages 8827-8849, July.
    2. Yantao Zhu & Mingxia Xie & Kang Zhang & Zhipeng Li, 2023. "A Dam Deformation Residual Correction Method for High Arch Dams Using Phase Space Reconstruction and an Optimized Long Short-Term Memory Network," Mathematics, MDPI, vol. 11(9), pages 1-20, April.
    3. Xin Yang & Yan Xiang & Guangze Shen & Meng Sun, 2022. "A Combination Model for Displacement Interval Prediction of Concrete Dams Based on Residual Estimation," Sustainability, MDPI, vol. 14(23), pages 1-17, November.

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