A Study on Deformation Trend of Concrete Dams

Author:

Qian Jing Lin1,Zhang Ye1,Zheng Min Sheng1

Affiliation:

1. Zhejiang Institute of Hydraulics and Estuary

Abstract

The observation series of concrete dam deformation is composed of the trend component, the periodic component and the stochastic component.In this paper, several stages are separated from the whole runtime according to the state of the dam.The trend component at each stage is extracted with the wavelet decomposition method, and modeled by the auto-regression method respectively. Then the characteristic polynomials of the auto-regression models are built. When solving these characteristic polynomials, the characteristic roots can be got. At last, to make a decision whether the dam is safe or not according to the trend of the minimum moduli of the roots. The application example shows that the conclusions of the method are consistent with the fact.

Publisher

Trans Tech Publications, Ltd.

Reference14 articles.

1. Wu Zhongru, Shen Changsong, and Ruan Huanxiang. Hydraulic structures safety monitoring theory and application[M]. NanJing, China: HoHai University Press, (1990).

2. Gu Chongshi, Wu Zhongru, and Yang wu. Determining grade three monitoring indicator of dam deformation with structural analysis method [J]. Journal of Hohai University, 28 (2000): 7-10.

3. Liu Dezhi, Li Junji. Detecting nonlinearity in the dam's monitoring data [J]. Journal of basic science and engineering, 14(2006): 84-92.

4. Li Min, Li Zhenzhao, He Jinping. Dam survey displacement monitoring model and its establishmen[J]. Journal of Sichuan University(engineering science edition), 35(2003): 21-25.

5. He Jinping, Li Zhenzhao, and Shi Yunqun. A study on comprehensive assessment method of dam structure monitoring behaviour[J]. Journal of hydroelectric engineering, 73(2001): 36-42.

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