Goaf permeability coefficient inversion method based on genetic algorithm

Abstract

The invention provides a goaf permeability coefficient inversion method based on a genetic algorithm, and relates to the technical field of mine ventilation. The method comprises the following steps:1, randomly generating a primary population about a permeability coefficient K; 2, setting an expected value is set, and calculating a goaf speed field numerical value V; 3, solving a velocity field distribution value Vij of each individual in the population; 4, calculating the Euclidean distance between V and Vij; 5, starting iteration, judging whether a termination condition is met or not, and outputting an optimal solution if the termination condition is met; if not, executing the step 6; 6, executing a selection operation to obtain a population D1; 7, carrying out crossover and variation of a genetic algorithm on individuals in the D1 to generate D1'; 8, repeating the step 3 to the step 7, and outputting an optimal solution if a termination condition is met; and if not, automatically adding 1 to l in the step 6. The method is simple and easy to implement, less in human intervention and short in consumed time, and has good accuracy for inversion results.

Description

technical field [0001] The invention relates to the technical field of mine ventilation, in particular to a method for inversion of goaf permeability coefficient based on genetic algorithm. Background technique [0002] The physical structure of mine goaf is complex and variable. The deformation caused by the stress of a certain rock in the goaf will lead to the change of the permeability coefficient in the whole goaf. It has a huge impact on the state of all gas flows in the goaf. If the permeability coefficient and gas flow law in the goaf cannot be mastered. It is easy to cause gas, fire and other accidents. Studying the permeability coefficient in the goaf can determine the natural ignition position of the goaf and establish a prediction theory. The above-mentioned permeability coefficients can be inversed by using this method combined with the genetic algorithm, which is of great significance for preventing accidental disasters and improving the overall safety facto...

AI Technical Summary

Problems solved by technology

However, when this method is used in gobs, since the seepage medium and boundary conditions are often relatively complex, it is particularly difficult to use analytical formulas to solve the permeability coefficient or permeability tensor

In addition, the current test methods still have difficulties in practical application and high costs. At the same time, there are problems such as discrete data, weak representativeness, and timing delays in field tests.

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