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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.
Chongshi Gu; Xiao Fu; Chenfei Shao; Zhongwen Shi; Huaizhi Su. Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study. International Journal of Environmental Research and Public Health 2020, 17, 319 .
AMA StyleChongshi Gu, Xiao Fu, Chenfei Shao, Zhongwen Shi, Huaizhi Su. Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study. International Journal of Environmental Research and Public Health. 2020; 17 (1):319.
Chicago/Turabian StyleChongshi 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." International Journal of Environmental Research and Public Health 17, no. 1: 319.
The permeability coefficient of a concrete slab rockfill dam (CFRD) was calculated in this paper on the basis of the equivalent quasi-continuum model for the percolation of crack-intensive face. This calculation helped simplify the establishment of a finite element model and improve the efficiency of calculating the seepage of dams. Moreover, an inversion algorithm based on particle swarm optimization and support vector machine was proposed and applied. Comparison of the permeability coefficients produced from the two methods showed minimal difference. On this basis, the seepage field of the dam was analyzed. The analysis and field monitoring data reveal that the proposed algorithm is of high application value, which lays a foundation for future studies on the seepage properties of CFRD with cracks.
Zhongwen Shi; Zhongru Wu; Chongshi Gu; Bo Chen; Hailong Zhang; Wenzhong Yin; BangBin Wu. Calculation Methods for the Permeability Coefficient of Concrete Face Rockfill Dam with Cracks. Advances in Civil Engineering 2019, 2019, 1 -13.
AMA StyleZhongwen Shi, Zhongru Wu, Chongshi Gu, Bo Chen, Hailong Zhang, Wenzhong Yin, BangBin Wu. Calculation Methods for the Permeability Coefficient of Concrete Face Rockfill Dam with Cracks. Advances in Civil Engineering. 2019; 2019 ():1-13.
Chicago/Turabian StyleZhongwen Shi; Zhongru Wu; Chongshi Gu; Bo Chen; Hailong Zhang; Wenzhong Yin; BangBin Wu. 2019. "Calculation Methods for the Permeability Coefficient of Concrete Face Rockfill Dam with Cracks." Advances in Civil Engineering 2019, no. : 1-13.