Study of Flow Fields in Different Conditions of Underground Mine Ventilation System Based on Tracer Gas and Computational Fluid Dynamics
After accidents in underground mines,rapidly determining the internal ventilation status of the mine is crucial for effective decision-making for both miners and rescue teams.This study has developed an approach that combines tracer gases and computational fluid dynamics(CFD)models to predict the airflow within the mine ventilation system following accidents.Experiments were conducted in an actual underground mine where SF6 gas was used as a tracer gas to test the distribution of tracer gas in the mine drift under four common ventilation conditions that can occur during accidents.Simultaneously,CFD was employed to accurately predict the complex mixing and diffusion effects in critical areas.The research revealed that the error between simulation and experiments was within approximately 10%.The operation of the booster fan had minimal impact on the distribution of tracer gas in the drifts,whereas the opening of stopping resulted in a decrease of approximately 2000 ppb in the tracer gas concentration within the drifts.Therefore,in practical operation,it is advisable to take measures to ensure that stoppings are opened following accidents.This work provides a reference for assessing the extent of damage to the ventilation system remotely after accidents.
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维普
