In order to fully reflect variation characteristics of composite concrete dam health state, the monitoring data is applied to diagnose composite concrete dam health state. Composite concrete dam lesion development to wreckage is a precursor, and its health status can be judged. The monitoring data are generally non-linear and unsteady time series, which contain chaotic information that cannot be characterized. Thus, it could generate huge influence for the construction of monitoring models and the formulation of corresponding health diagnostic indicators. This multi-scale diagnosis process is from point to whole. Chaotic characteristics are often contained in the monitoring data. If chaotic characteristics could be extracted for reflecting concrete dam health state and the corresponding diagnostic indicators will be formulated, the theory and method of diagnosing concrete dam health state can be huge improved. Therefore, the chaotic characteristics of monitoring data are considered. And, the extracting method of the chaotic components is studied from monitoring data based on fuzzy dynamic cross-correlation factor method. Finally, a method is proposed for formulating composite concrete dam health state indicators. This method can effectively distinguish chaotic systems from deterministic systems and reflect the health state of concrete dam in service.
Key Words
concrete dam; fuzzy dynamic; haotic characteristics; health diagnosis; monitoring data
Address
Hao Gu — 1)College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China 2)Cooperative Innovation Center for Water Safety and Hydro Science, Hohai University, Nanjing 210098, China 3)National Key Laboratory of Water Disaster Prevention, Nanjing 210098, China
Zihan Jiang — College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Meng Yang — 1)Nanjing Hydraulic Research Institute, Nanjing 210029, China 2)Cooperative Innovation Center for Water Safety and Hydro Science, Hohai University, Nanjing 210098, China 3)National Key Laboratory of Water Disaster Prevention, Nanjing 210098, China
Li Shi — China Electric Construction Group Northwest Survey and Design Institute Company, Xi'an, 710065, China
Xi Lu — China Electric Construction Group Northwest Survey and Design Institute Company, Xi'an, 710065, China
Wenhan Cao — College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Kun Zhou — College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Lei Tang — Nanjing Hydraulic Research Institute, Nanjing 210029, China
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