THE APPLICATION OF IMAGE PROCESSING TECHNOLOGY IN DEPOSIT'S BLOCK PROPORTION CALCULATIONS

CHENG Yaxing; HU Ruilin; XIA Jiaguo; GAO Wei; GAO Wenwei

doi:10.13544/j.cnki.jeg.2017.s1.092

Volume 25 Issue Z1

Nov. 2017

Turn off MathJax

Article Contents

Article Navigation > JOURNAL OF ENGINEERING GEOLOGY > 2017 > 25(Z1): 107-111

CHENG Yaxing, HU Ruilin, XIA Jiaguo, GAO Wei, GAO Wenwei. 2017: THE APPLICATION OF IMAGE PROCESSING TECHNOLOGY IN DEPOSIT'S BLOCK PROPORTION CALCULATIONS. JOURNAL OF ENGINEERING GEOLOGY, 25(Z1): 107-111. doi: 10.13544/j.cnki.jeg.2017.s1.092

Citation:

CHENG Yaxing, HU Ruilin, XIA Jiaguo, GAO Wei, GAO Wenwei. 2017: THE APPLICATION OF IMAGE PROCESSING TECHNOLOGY IN DEPOSIT'S BLOCK PROPORTION CALCULATIONS. JOURNAL OF ENGINEERING GEOLOGY, 25(Z1): 107-111. doi: 10.13544/j.cnki.jeg.2017.s1.092

Citation:

PDF( 2913 KB)

THE APPLICATION OF IMAGE PROCESSING TECHNOLOGY IN DEPOSIT'S BLOCK PROPORTION CALCULATIONS

doi: 10.13544/j.cnki.jeg.2017.s1.092

1.
Key laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029;
2.
University of Chinese Academy of Sciences, Beijing 100049

Received Date: 2017-08-31
Rev Recd Date: 2017-09-21
Publish Date: 2017-11-30

Abstract

Abstract

The author selects a deposit slope of the Hunan Hengyang Nanyue Baidian as the research object. Through analysing the structure characteristics of the particularity of deposit, suggests using image analysis technology to collaborate with field experiment to get the stone content of the deposit. Through image acquisition, image processing, image analysis, data processing and a series of necessary operations to get the block proportion data, then combine with field experiment data to statistic block proportion. The result shows that the principle of image processing technology is reliable and easily to operate date. Combining image processing and field experiments make the geotechnical test results more accurate, and the method can be widely used in the other deposit slope work.
- Deposit,
- Block proportion by weight(WBP),
- Image processing technology,
- Particle size analysis

FullText(HTML)

References(1)

References

Chen S,Yue Z Q,Tham L G. 2004. Digital Image-based numerical modeling method for prediction of inhomogeneous rock failure[J]. Internation Journal of Rock Mechanics and Mining Sciences, 41 (6):939~957.

Ji C J,Yi H S,Xia G Q. 2012. An image-analysis technique to measure grain-size variation in thin sections of clastic sediments[J]. Geological Science and Technology Information, 31 (3):122~127.

Kwan A K H,Mora C F,Chan H C. 1999. Particle shapeanalysis of coarse aggregate using digital imageprocessing[J]. Cement & Concrete Research, 29 (9):1403~1410.

Lebourg I,Riss J,Pirard E. 2004. Influence of morphological characteristics of heterogeneous moraine formations on their mechanical behaviour using image and statistical analysis[J]. Engineering Geology, 73 (1):37~50.

Medley E. 1994. The engineering characterization of mélanges and similar block-in-matrix rocks(bimrocks)[D]. Berkeley:University of California.

Xia J G. 2017. Precise detection of the structure of soil rock mixture and mechanical effect of oversized block[D]. Institute of Geology and Geophysics, CAS.

Xu W J,Hu R L,Yue Z Q,et al. 2007. Mesostructural character and numerical simulation of mechanical properties of soil-rock mixtures[J]. Chinese Journal of Rock Mechanics and Engineering, 26 (2):300~311.

Xu W J,Hu R L,Yue Z Q. 2008. Meso-structure character of soil-rock mixtures based on digital image[J]. Journal of Liaoning Technical University(Natural Science), 27 (1):51~53.

Xu W J,Yue Z Y,Hu R L. 2008. Study on the mesostructure and mesomechanical characteristics of the soil-rock mixture using digital image processing based finite element method[J]. International Journal of Rock Mechanics and Mining Sciences, 45 (5):749~762.

Xu W J. 2008. Study on Meso-Structural Mechanics(M-SM) of Soil-Rock Mixture(S-RM) and Its Slope Stability[D].BeiJing:Institute of Geology and Geophysics,CAS.

Yue Z Q,Chen S,Tham L G. 2003. Finite element modeling of geomaterials using digital image processing[J]. Computers and Geotechnics, 30 (5):375~397.

Yue Z Q,Morin I. 1996. Digital image processing for aggregate orientation in asphalt concrete mixtures[J]. Canadian Journal of Civil Engineering, 23 (2):480~489.

季长军,伊海生,夏国清. 2012. 图像分析技术在碎屑岩粒度分析中的应用[J]. 地质科技情报, 31 (3):122~127.

夏加国. 2017. 土石混合体斜坡地质结构的精细探测与几何建模[D]. 北京:中国科学院地质与地球物理研究所.

徐文杰,胡瑞林,岳中琦,等. 2007. 土石混合体细观结构及力学特性数值模拟研究[J]. 岩石力学与工程学报, 26 (2):300~311.

徐文杰,胡瑞林,岳中琦. 2008. 基于数字图像处理的土石混合体细观结构研究[J]. 辽宁工程技术大学学报(自然科学版), 27 (1):51~53.

徐文杰. 2008. 土石混合体细观结构力学及其边坡稳定性研究[D]. 北京:中国科学院地质与地球物理研究所.

Relative Articles

Supplements(0)

Cited By

Proportional views