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Porosity, percolation thresholds, and water retention behavior of random fractal porous media.

机译:随机分形多孔介质的孔隙度,渗滤阈值和保水性能。

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摘要

Fractals are a relatively recent development in mathematics that show promise as a foundation for models of complex systems like natural porous media. One important issue that has not been thoroughly explored is the affect of different algorithms commonly used to generate random fractal porous media on their properties and processes within them. The heterogeneous method can lead to large, uncontrolled variations in porosity. It is proposed that use of the homogeneous algorithm might lead to more reproducible applications. Computer codes that will make it easier for researchers to experiment with fractal models are provided.; In Chapter 2, the application of percolation theory and fractal modeling to porous media are combined to investigate percolation in prefractal porous media. Percolation thresholds are estimated for the pore space of homogeneous random 2-dimensional prefractals as a function of the fractal scale invariance ratio b and iteration level i. Percolation in prefractals occurs through large pores connected by small pores. The thresholds increased beyond the 0.5927…porosity expected in Bernoulli (uncorrelated) networks. The thresholds increase with both b (a finite size effect) and i. The results allow the prediction of the onset of percolation in models of prefractal porous media. Only a limited range of parameters has been explored, but extrapolations allow the critical fractal dimension to be estimated for many b and i values. Extrapolation to infinite iterations suggests there may be a critical fractal dimension of the solid at which the pore space percolates. The extrapolated value is close to 1.89—the well-known fractal dimension of percolation clusters in 2-dimensional Bernoulli networks.; The results of Chapters 1 and 2 are synthesized in an application to soil water retention in Chapter 3.
机译:分形是数学的一个相对较新的发展,它显示出有望成为诸如天然多孔介质之类的复杂系统模型的基础。尚未彻底探讨的一个重要问题是通常用于生成随机分形多孔介质的不同算法对其性能和内部过程的影响。异质方法会导致孔隙率大幅度失控。建议使用齐次算法可能会导致更多可重现的应用程序。提供了可使研究人员更容易地进行分形模型实验的计算机代码。在第二章中,结合了渗流理论和分形模型在多孔介质中的应用,研究了预分形多孔介质中的渗流。估计均质随机二维预分形的孔隙空间的渗流阈值,它是分形尺度不变比b和迭代水平i的函数。预分形中的渗流通过小孔连接的大孔发生。阈值增加到超出伯努利(无关联)网络中预期的0.5927…孔隙度。阈值随着b(有限大小效应)和i的增加而增加。结果可以预测预分形多孔介质模型中渗流的开始。仅研究了有限范围的参数,但通过外推法可以估算许多b和i值的临界分形维数。外推到无限次迭代表明,可能存在孔隙空间渗透的固体临界分形维数。外推值接近1.89,即二维Bernoulli网络中渗流簇的众所周知的分形维数。第1章和第2章的结果在第3章的土壤保水应用中进行了综合。

著录项

  • 作者

    Sukop, Michael C.;

  • 作者单位

    University of Kentucky.;

  • 授予单位 University of Kentucky.;
  • 学科 Agriculture Soil Science.; Hydrology.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 101 p.
  • 总页数 101
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 土壤学;水文科学(水界物理学);
  • 关键词

  • 入库时间 2022-08-17 11:46:49

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