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Modeling kaolinite electrical features under pressure using Pseudo Random Renormalization Group method at the audio frequency range
Journal of Physics and Chemistry of Solids ( IF 4.3 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.jpcs.2021.109963
Mohamed M. Gomaa

Few reports are displayed on relation between electrical characteristics of rocks and pressure. The objective of this article is the interpretation and modeling of experimental kaolinite specimens under various pressures (0- ~4.5 Kb, at ~50% humidity), and frequency (10 Hz - 10 kHz). Complex impedance measurements were performed for samples. At low pressure range (≤1 Kb); the reliance of the experimental capacitance and conductance on the pressure displays a considerable dependence on the applied pressure. Constant conductances are present at higher pressures. With rising pressure the capacitance decreases. These behaviors are interpreted by percolation theory. With the rise of pressure, the pore spaces decrease and conducting paths between grains increase. The behavior of capacitance and conductance with frequency is comparable with other reports as it will be discussed. Due to existence of water, it was supposed there is impedance at the kaolinite grain surfaces. Also, it was supposed the presence of charge movement and chemical reaction at surface grains. Renormalization group model as a member of the percolation group methods was used to interpret and model experimental data. We developed a model using four phases to analyze the probable deviations in electrical features that may control pressure.



中文翻译:

在音频范围内使用伪随机重归一化组方法在压力下对高岭石电气特征进行建模

很少有报告显示岩石的电特性与压力之间的关系。本文的目的是在各种压力(0-〜4.5 Kb,〜50%湿度)和频率(10 Hz-10 kHz)下解释和模拟实验性高岭石标本。对样品进行复数阻抗测量。在低压范围内(≤1Kb);实验电容和电导对压力的依赖性显示出对所施加压力的显着依赖性。在较高压力下存在恒定电导。随着压力的升高,电容减小。这些行为由渗流理论解释。随着压力的升高,孔隙空间减小,晶粒间的导电路径增加。电容和电导随频率变化的行为与其他报告具有可比性,因为我们将对此进行讨论。由于存在水,据认为在高岭石颗粒表面存在阻抗。另外,据推测在表面晶粒处存在电荷移动和化学反应。重整化组模型是渗滤组方法的一部分,用于解释和建模实验数据。我们使用四个阶段开发了一个模型,以分析可能会控制压力的电气特征的可能偏差。重整化组模型是渗滤组方法的一部分,用于解释和建模实验数据。我们使用四个阶段开发了一个模型,以分析可能会控制压力的电气特征的可能偏差。重整化组模型是渗滤组方法的一部分,用于解释和建模实验数据。我们使用四个阶段开发了一个模型,以分析可能会控制压力的电气特征的可能偏差。

更新日期:2021-02-08
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