• (1)2008-2021年连续14年获得中国科技核心期刊
  • (2)2021年被中国科学院文献情报中心中国科学引文数据库CSCD(核心库)收录(2021-2022)
  • (3)热烈庆祝《水资源与水工程学报》入编北京大学图书馆《中文核心期刊要目总览》2020年版
李文英, 杨 洋, 曹 成, 许增光.化学淤堵作用下尾矿砂孔隙分布及渗透特性试验研究水资源与水工程学报[J].,2021,32(3):187-192
化学淤堵作用下尾矿砂孔隙分布及渗透特性试验研究
Experimental study on the pore distribution and permeability characteristics of tailing sand under chemical clogging
  
DOI:10.11705/j.issn.1672-643X.2021.03.26
中文关键词:  尾矿库  化学淤堵  核磁共振  渗流试验  孔隙率  孔隙分布  渗透系数
英文关键词:tailing reservoir  chemical clogging  nuclear magnetic resonance (NMR)  seepage test  porosity  pore distribution  permeability coefficient
基金项目:国家自然科学基金项目(51679193)
作者单位
李文英, 杨 洋, 曹 成, 许增光 (西安理工大学 西北旱区生态水利国家重点实验室 陕西 西安 740048) 
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中文摘要:
      对石板沟尾矿库调研采样,分析尾矿砂表面化学元素并确定钙离子为造成该库化学淤堵的主要元素。添加氯化钙溶液改变尾矿砂中的钙离子含量,采用渗流试验装置及核磁系统观测不同溶液浓度和水力梯度作用下尾矿砂孔隙分布、孔隙率和渗透系数的时序变化规律,分析其影响因素。结果表明:核磁共振系统能准确地获得尾矿砂在不同条件下的孔隙率和孔隙分布;溶液浓度越大、作用时间越长淤堵作用越明显,并且孔隙尺寸、孔隙率和渗透系数值越小;高水力梯度引起的渗透破坏将减缓淤堵过程;不同浓度作用下渗透系数与作用时间呈明显的负指数关系,建立的渗透系数预测经验模型能为尾矿库的渗控分析和安全运行提供参考。
英文摘要:
      The chemical elements on the surface of tailing sand were analyzed and calcium was found to be the main element causing the chemical clogging in Shibangou Tailing Reservoir. Calcium chloride solution was added to the samples to change the calcium content. The seepage test equipment and the nuclear magnetic resonance (NMR) system were used to observe the time series changing pattern of the porosity, pore distribution and permeability coefficient of the tailing sand under the action of different solution concentrations and hydraulic gradients, and then the influencing factors were analyzed. The results show that the NMR system can accurately obtain the porosity and pore distribution of the tailing sand under different conditions. The larger the solution concentration and the longer the action time, the more obvious the clogging effect gets, the smaller the porosity, pore size and permeability coefficient become. The permeability damage caused by high hydraulic gradient will slow down the clogging process. There is an obvious negative exponential relationship between the permeability coefficient and the action time under different concentrations. The established empirical model for the prediction of the permeability coefficient can provide some reference for the seepage control analysis and safe operation of tailing reservoirs.
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