基于膏体稳定系数的级配表征及屈服应力预测

Grading characterization and yield stress prediction based on paste stability coefficient

  • 摘要: 由于不同矿山充填材料性质千差万别,屈服应力影响因素很难统一分析.通过多个矿山尾砂试样,依次开展了级配表征及影响实验、相似密度流变实验以及基于体积分数和灰砂比的双因素流变实验,并结合细观图像分析技术,实现了屈服应力演化机理的研究.研究表明:膏体稳定系数是级配的有效表征方式,能够表现散体和流体综合特征;屈服应力随膏体稳定系数呈幂指数增长,随浓度呈指数型增长,随密度呈负指数增长,由此构建的全尾砂膏体屈服应力预测模型误差在10%以内;细观图像分析认为屈服应力主要受级配结构和絮网结构支配,级配结构构成了料浆可塑性和稳定性的基础,絮网结构将自由水转变为半稳定形态的吸附水,引起屈服应力宏观演化.

     

    Abstract: Paste backfilling has become an important support technology in green mining construction. The flowability and rheology performance of paste determine whether the slurry can be transported normally. As such, the evaluation of flowability and rheology of paste are important factors in the reliability of paste transportation. Because paste has the three characteristics of fluidity, stability and plasticity, traditional two-phase flow theory cannot effectively analyze its plug flow. However, it is an effective method for analyzing and evaluating the fluidity of the paste based on rheology theory, and the yield stress is an important parameter for evaluating the rheological characteristics of paste. Due to the different properties of the materials in different mines, it is difficult to analyze the factors that influence yield stress. Several experiments have been conducted on a variety of tailings from different mines, including a gradation characterization and influence experiment, a rheology experiment on materials of similar densities, and double-factor rheological experiments based on the concentration and sand ratio. Combined with mesoscopic structure analysis technology, the evolution mechanism of yield stress was studied. The results indicate that the stability coefficient of paste can effectively reflect the gradation, and can also reflect the comprehensive characteristics of the granule and fluid. The yield stress increases significantly with the paste stability coefficient and increases exponentially with the concentration. At the same time, yield stress is characterized by negative exponential growth with density. The error range of this yield stress prediction model for unclassified tailings paste is within 10%. The mesoscopic structure analysis shows that yield stress is mainly controlled by gradation and flocculent structure. The gradation constitutes the foundation for the plasticity and stability of the slurry. The flocculent structure transforms free water into the semi-stable form of adsorptive water, which causes the macro-evolution of the yield stress.

     

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