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Numerical Simulation Of Gas Migration Rule In Goaf

Posted on:2011-11-30Degree:MasterType:Thesis
Country:ChinaCandidate:S B LiFull Text:PDF
GTID:2121360332957484Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
The long-term production proved that the prediction of migration rule of gas in mine prediction is an important and indispensable technology for mine's prevention and control link. mine gas is the main factors of insecurity in the process of coal production, Gas disaster is the major disaster of threat to China's mine safety production.so it is a necessary prerequisite to strengthen the governance of gas disaster for protecting the mine safety and efficient production and it is a significant impact to gas transport and distribution for mine design, construction and mining. With the increase in mining depth and production,gas potential impact will have more significant and the simulation results of the right or wrong, it will directly affect the technical and economic indicators of mine. Toward this end,we made a study of Numerical Simulation of Gas Migration Rule in Goaf .This article have goaf gas distribution data through the long-term experimental observations in the Chenjiashan Mine Goaf 416 face.First of all we analysis the gob gas mainly from the adjacent layer of the influx of gas and the coal seam gas emission and use AHP to analysis the factors affecting goaf gas migration,and found oxygen gas in goaf is the most important factor to affect the gas transport Second, we use the iterative method in mathematics to improve the nonlinear flow equations in goaf and carved out the different flow pattern of regional.Finally,we establish Merry mathematical model of flow field equations in the goaf and the roadway based on the study of summarizing the current characteristics of goaf gas migration, migration laws of prediction and numerical simulation. This article use FLUENT software for numerical simulation in order to display goaf gas flow distribution in graphical. Provides a reliable theoretical basis for gas governance and management.
Keywords/Search Tags:Goaf, Gas, Analytic Hierarchy Process, Iteration, Numerical Simulation
PDF Full Text Request
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