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Based On Cms Measured Goaf Risk Analysis And Processing

Posted on:2009-12-27Degree:MasterType:Thesis
Country:ChinaCandidate:B YangFull Text:PDF
GTID:2191360245482512Subject:Underground space resource science and engineering
Abstract/Summary:PDF Full Text Request
Goaf is one of the main hazard sources faced by underground resource mining. The paper uses the methods of field experimentation, mining and numerical simulation software, artificial neural nets, employs kinds of digitized software tool ,such as Cavity Monitoring System (CMS), Surpac, Flac Phase and Matlab, tightly couples with the scientific research of "The study of the cavity modality Three-dimensional exact explore and numerical simulation and monitoring technology in Tongkengmine", and carries on the investigation into cavity Danger degree analysis based on CMS according to the actual conditions of Tongkengmine. The main study contents are as follows:Taking the advanced Three-dimensional Cavity Monitoring System as means, integratedly using software tools such as QVOL,Surpac, finishing precise exploration of cavities and building a three-dimensional visual model exactly, mastering the information about the three-dimensional configuration, spatial position, actual border, roof area, volume of the cavities, acquiring relevant information about the cavities effectively.Quantitatively analyzing the cavity risk from the aspects of displacement, stress and plastic deformation ,by the numerical analogue analysis software-FLAC and Phase. On the basis of the above analysis, by considering the three-dimensional configuration ,space distribution and the size of cavity, the author classify its risk level.Based on the actual exploration information about the cavity, by considering the physical mechanics property of surrounding rock and making use of artificial nerve network theories, we build a BP nerve network model for predicting cavity risk, which helps to realize the valid estimate about nine cavity risk.On the basis of above research, and considering its environment , three- dimensional configuration, spatial position and its relation with surrounding project, etc., the research proposes a technical proposal for the rational dispose of Tongkeng mineing Cavity.The object of the study is metal underground mine, and aims at forming an integrated technology of accurate exploration,Danger degree analysis and effective management about the metal mine cavity. On the basis of accurate information of cavity, the author carries on reliable safety analysis,which effectively prevents the occurrence of cavity hazard. The study provides technique guidance and support for the safety production, plays a key role in preventing and controlling major and extraordinarily big accidents, and has important theoretical and realistic meaning.
Keywords/Search Tags:goaf, CMS, Danger degree, numerical simulation, neural network
PDF Full Text Request
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