松散破碎介质中液体饱和渗流规律研究

Regularities for saturated water seepage in loose fragmented medium

原地爆破浸出采场的铀矿堆,是一种由凿岩爆破法构筑而成的矿堆,是一种松散破碎介质,其粒径服从Rosin-Rammler分布,其特征粒径、粒径分布指数和孔隙率随所采用的爆破参数和爆破工艺的不同而不同。为了研究这类铀矿堆的特征粒径、粒径分布指数和孔隙率对其中液体饱和渗流的影响,根据Rosin-Rammler分布,选配了7组具有不同颗粒级配的试样,采用自制的松散破碎介质液体饱和渗流试验装置,对其中液体饱和渗流的规律进行了试验研究,并利用试验结果,采用自适应神经模糊推理系统(ANFIS),建立了根据特征粒径、粒径分布指数和孔隙率预测渗透率和流态指数的ANFIS模型。结果表明:松散破碎介质中的液体饱和渗流满足非Darcy指数定律;所建立的预测渗透率和流态指数的ANFIS模型,能够给出具有足够精度的预测结果,这为渗透率和流态指数的预测开辟了新的途径。

For in-situ leaching of fragmented uranium ore by blasting,the ore heap is constructed by drilling and blasting and is a loose fragmented medium.Its particle size distribution obeys the Rosin-Rammler distribution law,and its characteristic particle size,particle size distribution index and porous ratio vary with the employed blasting techniques and technical parameters.In order to study the regularities for saturated water seepage in the medium,a self-designed apparatus is used to perform tests on seven samples compounded by using the Rosin-Rammler distribution law.And the adaptive neuro-fuzzy inference system（ANFIS） is used to establish the ANFIS models for predicting the seepage ratio and flow state index on the basis of the test results.The research results show that the saturated water seepage in the medium is Non-Darcy flow,that the relationship between the seepage velocity and the hydraulic gradient can be described in an exponential function,and the ANFIS models can give highly accurate predictions.It will provide a new approach to the estimation of the seepage ratio and flow state index.