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在地质相关的导电场中随机散步的统计数据
Shayan Jalalmanesh1, Muhammad Sahimi1, Felipe P J de Barros2
1Mork Family Department of Chemical Engineering and Materials Science, <a href="https://ror.org/03taz7m60">University of Southern California</a>, Los Angeles, California 90089-1211, USA.
Physical review. E
|December 18, 2024
概括
这项研究表明,在多孔介质中随机走路的统计数据取决于液压导电量的分布. 异常扩散发生在导电量分布广泛时,偏离标准模型.
科学领域:
- 物理 物理学 物理
- 地质物理学 地质物理学
- 应用数学 应用数学 应用数学
背景情况:
- 随机步行模型在各种媒体中扩散,为不同的访问站点和返回概率建立了权力规律.
- 之前的研究假定了统一的债券导电量,这限制了适用于多孔介质等异质系统的适用性.
研究的目的:
- 调查分布广泛的液压导电量如何影响多孔介质中的随机步行统计数据.
- 确定是否普遍的电力规律适用于异质地质媒体中的扩散.
主要方法:
- 广泛的蒙特卡洛模拟2D网格上的随机步行.
- 考虑五个地质相关的导电分布:正常,日志-正常,分数布朗运动 (FBM),日志-FBM和稳定分布.
- 关键扩散统计的分析:访问的不同地点的平均数量S(t),返回原点的平均概率P0(t),和平均平方位移
.
主要成果:
- 随机步行统计,包括指数p和 ζ对于S{\displaystyle S}t和P{\displaystyle P}t,取决于导电分布.
- 在至少三种分布中,扩散是异常的,
偏离了线性时间依赖. - 指数不同于同质格子和碎形结构中发现的指数.
结论:
- 在高度异质的多孔介质中扩散是异常的.
- 随机走路的统计数据对底层导电分布敏感.
- 在地质介质中的异常扩散可以用分数局部微分方程来描述,其顺序取决于导电分布的细节.
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