The influence factors of the stability of tailings dam based on multi-source information fusion method

MSIF: Multi-source information fusion based on information sets

 Multi-source information fusion is a sophisticated estimating technique that enables users to analyze more precisely complex situations by successfully merging key evidence in the vast, varied, and occasionally contradictory data obtained from various sources. Restricted by the data collection technology and incomplete data of information sources, it may lead to large uncertainty in the fusion process and affect the quality of fusion. Reducing uncertainty in the fusion process is one of the most important challenges for information fusion. In view of this, a multi-source information fusion method based on information sets (MSIF) is proposed in this paper. The information set is a new method for the representation of granularized information source values using the entropy framework in the possibilistic domain. First, four types of common membership functions are used to construct the possibilistic domain as the information gain function (or agent). Then, Shannon agent entropy and Shannon inverse agent entropy are defined, and their summation is used to evaluate the total uncertainty of the attribute values and agents. Finally, an MSIF algorithm is designed by infimum-measure approach. The experimental results show that the performance of Gaussian kernel function is good, which provides an effective method for fusing multi-source numerical data.

Solution and Stability Analysis of Sliding Surface of Tailings Pond under Rainstorm

In the case of rainstorm, instability accidents in tailings ponds occur frequently, but there is no reliable calculation method for the stability calculation of tailings ponds. At the same time, there are problems of fuzzy hydrological boundaries and randomness of geotechnical parameters in the stability analysis of tailings ponds, which greatly weakens the credibility of the stability calculation. Therefore, this paper studies the stability of tailings ponds by using the principle of hydrogeology, the theory of elastic-plastic mechanics, the idea of limit equilibrium, and the probability analysis model. The boundary conditions of rainfall slope of tailings ponds are determined based on hydrogeological rainstorm analysis and trapezoidal generalization method. The potential sliding surface of tailings pond slope is solved by using the limit strain criterion. Through the random sampling method of Monte Carlo parameters to deal with the randomness of slope geotechnical parameters, the limit strain Monte Carlo reliability analysis method is established. Finally, through the calculation of practical cases, the stability results of tailings ponds under rainstorm are analyzed. The research results provide ideas for the quantitative analysis of tailings pond stability and have important significance for engineering guidelines.