Dam Safety Monitoring Based On Artificial Bee Colony Algorithm

Multiple intelligent computation methods is a powerful tool which apply to dam safety monitoring includes the displacement of the regression model and inverse analysis of material parameters. Among these methods, artificial bee colony algorithm (ABCA) was proposed in recent years with tremendous developing potential. Theoretical analysis and experimental results show that ABCA has the advantages of high robustness, high accuracy wide applicability, and good efficiency. The major work may be summarized as the follows:1A stepwise regression model with artificial bee colony algorithm is proposed for dam deformation monitoring in this paper. Firstly, the predictor variables are selected by stepwise regression (SR), and the main statistical methods used include:descriptive statistics analysis, correlation analysis, independent samples T test and so on. Then the coefficients of the regression model are reevaluated by an improved artificial bee colony algorithm (ABCA). ABCA is a novel swarm intelligence optimization algorithm, and it is introduced into dam health monitoring in this paper. The Nelder-Mead simplex search (NMSS) is introduced into the basic ABCA (HSABCA) in order to improve the efficiency and accuracy of the regression model. Application engineering example shows that the proposed algorithm has higher fitting degree and. precision of dam deformation prediction.2The material parameter identification is an important problem in the works of the dam safety monitoring. Based on the statistical model results of previous step, we can get the hydraulic component model. We treat the inverse problem of material constant identification for the concrete dam as an optimization problem, which is then can be solved by HSABCA with the help of finite element modeling, relative displacement principle and sensitivity analysis.Making full use of the result of the dam deformation regression model and material parameter identification, the mean prediction relative error compared with measured displacement is low based on the HSABCA. It is an assistant tool in the domain of dam safety monitoring, and similar geotechnical problems.