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Ytc Lo Embankments Goaf Stability Analysis

Posted on:2009-04-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y L GuoFull Text:PDF
GTID:2191360245456201Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
The goaf is formed in the process of underground depositing by mine enterprises,which destroys the static balance of the original rock,so that the rock stress of goaf changes and redistributes.When the centralism stress has surpassed the strength of the rock,it will cause the stability of goaf to destroy.The disaster of goaf is one of common major disasters,which leads to collapse of wall,roof fall,water burst,earthquake,rock burst,the impact geostatic pressure,fall of ground,the surface subsidence,the crack and so on.It has become one of major disasters of underground mine,and has been highly taken by the government and the enterprises.A large number of the unprocessed goafs of long-standing,to a certain extent,keep the latent danger to the mine,which cause huge threat to the mine production and the life and safety of mine workers.In this paper,to Yunnan Tin Company Group Limited Lu tang ba the security stability of the massive unprocessed goafs in underground mining process are systematically and in-depth studied,the specific contents are as follows:(1)On the basis of the goaf data provided by the scene technical departments as well as scene investigation,it is analyzed and trimmed to the goaf of the various center-sections distribution,the geometry parameter, the spatial shape as well as the distribution of the group.(2)The stability influence factor of goaf is systematically analyzed after have collected and consulted massive literature and information.(3)The important degree of the stability influence factors about goaf is analyzed with AHP,which will prepare for further analyse.(4)According to the characteristic of Lu tang ba goaf that is quantity and widely distributed,a large number of goaf is dynamic fuzzy clustered with fuzzy clustering analytical clustering.(5)On the basis of hazard degree classified with the dynamic analytical clustering,Using BP neural networks to predict hazard degree of goaf.(6)Visual C++ programming language and the mathematics software of MATLAB is used on the above analysis computation process,in order to scientifically,quickly and highly efficiently process the data of goaf.
Keywords/Search Tags:goaf, stability, disasters, the Analytic Hierarchy Process, fuzzy analytical clustering, BP Neural Network, hazard degree
PDF Full Text Request
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