2019
DOI: 10.3233/jifs-179139
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The influence factors of the stability of tailings dam based on multi-source information fusion method

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Cited by 6 publications
(4 citation statements)
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“…According to the methods described above, we can use the method of reconstructing the information data of the web portal to initialize the parameters related to the information of the web portal [13][14][15]. e Markov model for rapid information retrieval from web portals can retrieve differential web portal information according to the output of the model [16].…”
Section: Establishment Of the Markov Model For Rapid Informationmentioning
confidence: 99%
“…According to the methods described above, we can use the method of reconstructing the information data of the web portal to initialize the parameters related to the information of the web portal [13][14][15]. e Markov model for rapid information retrieval from web portals can retrieve differential web portal information according to the output of the model [16].…”
Section: Establishment Of the Markov Model For Rapid Informationmentioning
confidence: 99%
“…After analyzing a large number of documents, it is found that great progress has been made in the research of tailings pond stability, whether in experimental research, numerical simulation, or stability evaluation [35,36]. However, for the stability research under rainstorm, the problems of fuzzy rainfall hydrological boundaries and randomness of potential sliding surface and geotechnical parameters still exist, which makes the stability checking calculation results of tailings pond under rainstorm unreliable [37][38][39]. Thus, the main objectives of this study were to solve the rainfall boundary conditions and potential sliding surface position of tailings pond stability calculation under rainstorm, and put forward the limit equilibrium Monte Carlo stability analysis method to determine the slope stability of tailings ponds under rainstorm conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Zhu et al [21] used FLAC 3D to simulate the anchorage mechanism of a layered rock mass with different numbers of bolts. Liang et al [22] used the BP neural network algorithm to establish a stable slope angle prediction model of an open-pit mine and successfully predicted the final slope angle of the mine. Gong et al [23,24] analyzed the impact of rainfall on open-pit coal mines.…”
Section: Introductionmentioning
confidence: 99%