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The Optimization Study Based On Inversion Theory Of Deep Roadway Support Program

Posted on:2008-06-11Degree:MasterType:Thesis
Country:ChinaCandidate:P DingFull Text:PDF
GTID:2191360215486729Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
Combining the key project of National Natural Science Fund "The basic research and application of Rock Mechanics in Depth", and "the research on technique of surrounding rock control and optimizing method in Kaiyang Phosphorite Mine in Guizhou Province", the mechanical parameters in the deep earth are analyzed in the thesis, and then the result is used to find the optimized method.First of all, comprisive field investigation on roof fall at heavy section drift is carried out. According to this, the reason why the accident happende is found out.Rock samples of each kind are selected in-situ, and they are made into rock models to test. The mechanical parameters gained from the test are analysed, especially the complete curve of stress-strain of shale is analysed carefully. Meanwhile, the deformed and destructed roadway is investigated and the deformations of the roadway are measured precisely.In-situ stress and mechanical parameters of rock mass are analyzed by the recorded roadway's displacements. The theory of artificial neural network, chaotic optimization and back analysis of mechanical parameters are used for mechanical parameters analysis. The results calculated by back analysis of mechanical parameters and empirical formula are compared, and they are different.In-situ stress and mechanical parameters of rock mass are used to choose the optimized project by numerical simulation. The software FLAC3D is used to compare the optimized supporting method and the customary one. And the optimized one has its prominent advantages. After that, the four adopted to be optimal supporting methods are analyzed and the only one is found. Each analysis is revealed its stress and its displacement.At last, it is concluded that very high geostress is loaded on the rock mass after the analysis, and different supporting parameters have different effects on the rock. In response to the limitation of numerical simulation for stability and optimal design of underground rock mass engineering with high geostress and the drawbacks of conventional in-situ underground engineering, two measures-numerical simulation and conventional in-situ underground engineering are combined to find the optimizing method.Combining the engineering practice, the field information is gathered and the investigation work is carried out. The mechanical parameters gained from the test are analyzed. In light of causes of the failure of the support, some effective methods are advanced. The findings could be used to guide the engineering practice, and they have an important theoretical guidance and engineering application value.
Keywords/Search Tags:deep roadway, back analysis of mechanical parameters, artificial neural network, chaotic optimization, supporting, numerical simulation
PDF Full Text Request
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