空间异质性的量化及其对粒子迁移的影响

V. S. Ramakrishna Annapareddy, A. Sufian, T. Bore, Alexander Scheuermann
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引用次数: 0

摘要

灌注实验用于量化间隙分级土壤中不断变化的异质性程度。试验试样由混合物层和粗粒层组成,混合物层的细粒含量各不相同。同轴渗透仪单元可通过空间时域反射仪获得局部渗透率。采用三种方法(变异系数、戴克斯特拉-帕森斯系数和洛伦兹系数)根据局部渗透率的空间变化来量化异质性。对于本研究中的双层试样,所有三种方法都表明,淤积具有均质效应,颗粒会从混合物层迁移到粗料层。从多层方法中获得了详细的见解,发现戴克斯特拉-帕森斯系数对空间变化更为敏感,而洛伦兹系数对数据量的依赖性较小。主要的观察结果是,异质性的增加导致粒子迁移的减少。这是一个重要的发现,因为之前的研究主要集中在均质试样上,而本研究表明,少量的异质性会对颗粒迁移特性产生重大影响。这更加说明了量化异质性演变程度的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantification of spatial heterogeneity and its influence on particle migration
Suffusion experiments were utilised to quantify the evolving degree of heterogeneity in gap-graded soils. Upward flow was imposed on test specimens comprising a mixture layer with varying finer fraction contents overlaid by a coarse layer. A coaxial permeameter cell enabled the local permeability to be obtained using spatial time domain reflectometry. Three methods (coefficient of variation, Dykstra-Parsons coefficient, and Lorenz coefficient) were employed to quantify heterogeneity based on spatial variability in local permeability. For the two-layered specimen in this study, all three methods demonstrated that suffusion had a homogenising effect with particle migration from the mixture layer to the coarse layer. Detailed insights were obtained from a multi-layered approach, where the Dykstra-Parsons coefficient was found to be more sensitive to spatial variations, while the Lorenz coefficient was less dependent on the amount of data. The key observation was that an increase in heterogeneity led to a reduction in particle migration. This is an important finding as prior studies focused on homogeneous specimens, while this study demonstrates that small amounts of heterogeneity can significantly impact particle migration characteristics. This reinforces the need to quantify the evolving degree of heterogeneity.
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