Abstract
During the operation period, the deformation of an ultra-high arch dam is affected by the large fluctuation of the reservoir water level. Under the dual coupling of the ultra-high dam and the complex water level conditions, the traditional variational analysis method cannot be sufficiently applied to its deformation analysis. The deformation analysis of the ultra-high arch dam, however, is very important in order to judge the dam safety state. To analyze the deformation law of different parts of an ultra-high arch dam, the panel data clustering theory is used to construct a Spatio-temporal characteristic model of dam deformation. In order to solve the difficult problem of the fluctuating displacement of dam deformation with water level effect, three displacement component indexes (absolute quantity, growing, and fluctuation) are proposed to characterize dam deformation. To further optimize the panel clustering deformation model, the objective weight coefficient of clustering comprehensive distance is calculated based on the CRITIC (CRiteria Importance Through Inter-criteria Correlation) method. The zoning rules of the ultra-high arch dam are established by using the idea of the CSP (Constraint Satisfaction Problem) index, and the complex water level of the reservoir is simulated in the whole process. Finally, the dynamic cluster analysis of dam deformation is realized. Through a case study, three typical working conditions including the rapid rise and fall of water level and the normal operation are calculated, and the deformation laws of different deformation zones are analyzed. The results show that the model can reasonably describe the deformation law of an ultra-high arch dam under different water levels, conveniently and intuitively select representative measuring points and key monitoring parts, effectively reducing the analysis workload of lots of measuring points, and improve the reliability of arch dam deformation analysis.
Highlights
With the improvement of dam building technology, the ultra-high arch dam has reached the level of 300 m, e.g., the maximum dam height of Xiaowan in China is 294.5 m, the maximum dam height of Baihetan in China is 289 m, the maximum dam height of Xiluodu arch dam in China is 285.5 m, and the maximum dam height of Enguri arch dam in the Republic of Georgia is 271.5 m [1,2]
After the arch dam deformation zoning is obtained according to the above clustering method, representative measuring points can be selected in different areas for modeling and fitting analysis, and the dynamic change law of dam zoning in different operation stages can be analyzed
Because the traditional deformation analysis method is difficult to apply to the deformation law analysis of an ultra-high arch dam, the clustering and zoning model based on the panel data theory improved by the CRITIC method and CSP index is constructed in this paper
Summary
With the improvement of dam building technology, the ultra-high arch dam has reached the level of 300 m, e.g., the maximum dam height of Xiaowan in China is 294.5 m, the maximum dam height of Baihetan in China (under construction) is 289 m, the maximum dam height of Xiluodu arch dam in China is 285.5 m, and the maximum dam height of Enguri arch dam in the Republic of Georgia is 271.5 m [1,2]. The zoning rules of the ultra-high arch dam are established through the idea of the CSP index, which can simulate the water level in different stages of the reservoir in the whole process and realize the dynamic cluster analysis of dam deformation. In order to improve the effectiveness of deformation clustering method analysis under the dynamic and complex water level, the clustering fluctuation distance is applied This is done in accordance with the deformation characteristics under different working conditions, i.e., during the rapid rise period of the reservoir water level upstream of the ultra-high arch dam and the operation period of normal water level. The representative measurement points are selected from each subclass for subsequent analysis This method can out-perform traditional single-point analysis and reflect the overall Spatio-temporal change state of an ultra-high arch dam under large-scale water level fluctuation. It has obvious rationality and superiority compared with a simple time series or section series
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