A numerical method for analyzing the permeability of heterogeneous geomaterials based on digital image processing
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- 作者：Long Yan ; Qing-xiang Meng ; Wei-ya Xu…
- 关键词：Key wordsHeterogeneous geomaterials ; Digital image processing (DIP) ; Macro permeability coefficient ; Scale dependency
- 刊名：Journal of Zhejiang University-SCIENCE A
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：18
- 期：2
- 页码：124-137
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Mechanical Engineering; Civil Engineering; Classical and Continuum Physics; Industrial Chemistry/Chemical Engineering;
- 出版者：Zhejiang University Press
- ISSN：1862-1775
- 卷排序：18
文摘
In this study, we propose a digital image processing technology for estimating the macro permeability property of heterogeneous geomaterials. The technology is based on a connected-component labeling algorithm and provides a novel and effective method for geometry vectorization and microstructure identification. A color photo of a soil and rock mixture (SRM) is taken as an example. Information about the distribution of aggregate and a vectorgraph, which can be used in numerical analysis, are obtained automatically. A numerical permeability test is carried out to estimate the macro permeability coefficient of the heterogeneous medium. The effects on macro permeability of three parameters, scale dependency, material heterogeneity and the rock fraction, are discussed. The results indicate that the SRM has a scale dependent property and the representative element volume (REV) length is about six times the maximum major axis of the aggregate. The heterogeneity parameter has a major effect on macro permeability characteristics within a certain range. There is a weak tendency for the macro permeability to decrease as the rock fraction increases. Although the rock fraction is not the only factor, it does have an influence on the macro permeability. We conclude that the novel method developed in this study has good prospects for widespread application in macro parameter estimation and related research fields.