A statistical model for porous structure of rocks

被引:45
作者
Ju Yang [1 ,2 ]
Yang YongMing [1 ]
Song ZhenDuo [3 ]
Xu WenJing [4 ]
机构
[1] China Univ Min & Technol, State Key Lab Coal Resources & Safe Min, Beijing 100083, Peoples R China
[2] Univ Calgary, Dept Mech & Mfg Engn, Calgary, AB T2N 1N4, Canada
[3] China Natl Coal Min Equipment Co Ltd, Beijing 100011, Peoples R China
[4] Univ Utah, Dept Met & Mat, Salt Lake City, UT 84112 USA
来源
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 2008年 / 51卷 / 11期
基金
加拿大自然科学与工程研究理事会;
关键词
porous structure; statistical model; random numbers; reconstruction; rocks;
D O I
10.1007/s11431-008-0111-z
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The geometric features and the distribution properties of pores in rocks were investigated by means of CT scanning tests of sandstones. The centroidal coordinates of pores, the statistic characterristics of pore distance, quantity, size and their probability density functions were formulated in this paper. The Monte Carlo method and the random number generating algorithm were employed to generate two series of random numbers with the desired statistic characteristics and probability density functions upon which the random distribution of pore position, distance and quantity were determined. A three-dimensional porous structural model of sandstone was constructed based on the FLAC(3D) program and the information of the pore position and distribution that the series of random numbers defined. On the basis of modelling, the Brazil split tests of rock discs were carried out to examine the stress distribution, the pattern of element failure and the inosculation offailed elements. The simulation indicated that the proposed model was consistent with the realistic porous structure of rock in terms of their statistic properties of pores and geometric similarity. The built-up model disclosed the influence of pores on the stress distribution, failure mode of material elements and the inosculation of failed elements.
引用
收藏
页码:2040 / 2058
页数:19
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