The Determination of Deformation Monitoring Indices Using Lifting Wavelet and Multi-Component Cloud Model

Abstract:

As one of the most significant indices to estimate dam behavior, the study of deformation monitoring indices has become a hot spot recently. In this paper, a method based on lifting wavelet and multi-component cloud model is proposed. For this method, the time dependent component which can evaluate the dam behavior is decomposed and reconstructed by lifting wavelet firstly. According to the time dependent component, those monitoring data which can reflect the present situation of dam could be chosen. After that, compute the deformation monitoring indices of each component based on the valid data through the multi-component cloud model. And then the deformation monitoring indices of dam as well as the certainty degrees could be acquired finally. The proposed approach is tested with cloud model based on the whole monitoring data and typical small probability method relies on 1% and 5% significance level respectively. Experimental results show that this proposed method yields an excellent performance in calculating the dam safety deformation monitoring indices, which could be utilized in actual projects.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 3001-3005
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.3001
• Online since: May 2014
• Authors: He Zhi Liu*, Nan Ding, Dong Qin, Jing Yang Liu
• Keywords: Dam Safety Monitoring Indices, Deformation Monitoring Indices, Lifting Wavelet, Multi-Component Cloud Model, Typical Small Probability Method

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