4.7 Article

Ordinary Kriging Interpolation Method Combined with FEM for Arch Dam Deformation Field Estimation

期刊

MATHEMATICS
卷 11, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/math11051106

关键词

ordinary kriging; finite element method; Monte Carlo stochastic FEM; arch dam; deformation field estimation; dam safety monitoring

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In this study, a combination of ordinary kriging interpolation method and finite element method (FEM) is proposed to estimate the deformation field of arch dams. The FEM is used to calculate the basic deformation of the arch dam based on the inversion of computation parameters. Then, the ordinary kriging interpolation method is introduced to estimate the spatial variance deformation at each point of the dam. Experimental results show that the proposed method significantly improves the accuracy and computational efficiency of arch dam deformation field estimation and is of great practical importance in characterizing the deformation behavior of arch dams.
The deformation characteristic of the arch dam can directly reflect its service performance, which can be analyzed on the basis of the dam deformation field. However, restricted by the limited number of dam monitoring points and the inhomogeneity of materials, an accurate measurement of arch dam deformation field is difficult to estimate by using the existing common methods, such as the spatial interpolation methods and the finite element method (FEM). With the aim of ensuring arch dam structure safety, the ordinary kriging interpolation method, combined with FEM, is proposed for arch dam deformation field estimation, in this study. Given the inversion of the computation parameters of the arch dam, FEM is used to calculate the basic arch dam deformation. Subsequently, the ordinary kriging interpolation method is introduced to estimate the spatial variance deformation at each point of the arch dam. One superhigh arch dam in China is selected as a case study; two additional methods are introduced as comparisons that are based on a numerical experiment and the actual monitoring data. The experimental results show that the proposed method considerably improves the accuracy and computational efficiency of the arch dam deformation field estimation and that it is of great practical importance for characterizing the deformation behavior of arch dams.

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