Steel and Composite Structures

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An analytical approach of behavior change for concrete dam by panel data model

  • Gu, Hao (College of Water Conservancy and Hydropower Engineering, Hohai University) ;
  • Yang, Meng (College of Water Conservancy and Hydropower Engineering, Hohai University) ;
  • Gu, Chongshi (College of Water Conservancy and Hydropower Engineering, Hohai University) ;
  • Cao, Wenhan (College of Water Conservancy and Hydropower Engineering, Hohai University) ;
  • Huang, Xiaofei (Library of Hohai University) ;
  • Su, Huaizhi (College of Water Conservancy and Hydropower Engineering, Hohai University)
  • Received : 2020.05.11
  • Accepted : 2020.08.13
  • Published : 2020.09.10
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Abstract

The behavior variation of concrete dam is investigated, based on a new method for analyzing the data model of concrete dam in service process for the limitation of wavelet transform for solving concrete dam service process model. The study takes into account the time and position of behavior change during the process of concrete dam service. There is no dependence on the effect quantity for overcoming the shortcomings of the traditional identification method. The panel data model is firstly proposed for analyzing the behavior change of composite concrete dam. The change-point theory is used to identify whether the behavior of concrete dams changes during service. The phase space reconstruction technique is used to reconstruct the phase plane of the trend effect component. The time dimension method is used to solve the construction of multi-transformation model of composite panel data. An existing 76.3-m-high dam is used to investigate some key issues on the behavior change. Emphasis is placed on conversion time and location for three time periods consistent with the practical analysis report for evaluating the validity of the analysis method of the behavior variation of concrete dams presented in this paper.

Keywords

Acknowledgement

This work was supported by the National Natural Science Foundation for Young Scientists of China (Grant No.51909173), the State Key Program of National Natural Science of China (Grant No.51739003), National Key R&D Program of China (2019YFC1510801, 2016YFC0401601), fundamental Research Funds for the Central Public Welfare Research Institute (No.Y119002), the Fundamental Research Funds for the Central Universities (Grant No. 2016B04114), basic Research Project Funded of National Key Laboratory (Grant No. 520003812), national Natural Science Foundation of China (51979093, 51739003, 51909173, 51979093, 51779086).

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