Quantitative analysis of micro-porosity of eco-material by using SEM technique

Ji-ru Zhang , Yuan-zhi Liu , Zu-de Liu

Journal of Wuhan University of Technology Materials Science Edition ›› 2004, Vol. 19 ›› Issue (2) : 35 -37.

PDF
Journal of Wuhan University of Technology Materials Science Edition ›› 2004, Vol. 19 ›› Issue (2) : 35 -37. DOI: 10.1007/BF03000163
Article

Quantitative analysis of micro-porosity of eco-material by using SEM technique

Author information +
History +
PDF

Abstract

Microstructure of the eco-material combining vegetation recovery with slope protection is important for determining plant-growing properties. Several techniques for analyzing the eco-material microstructwe are presented, including the freeze-cut-drying method of preparing samples for scanning electronic microscopy (SEM), the SEM image processing technique and quantifying analysis method of the SEM images, and etc. The aggregates and pores in SEM images are identified using the different mathematics operators, and their effects are compared. The areas of aggregates and pores are obtained using the operator of morphology, and the influences of different thresholds in image segmentation are also discussed. The results show that the method, in which the variation of non-maximum grey-level gradient is limited, improves the effect of edge detections due to a weak distinction existing at the edge between the aggregates and pores in image. The determination of the threshold should combine the image characteristic with filling operation, so as to assure the precision of the image analysis, in which the contact-segmentation is the simplest and most effective method. The results also show that the pore areas in eco-materials are generally larger than those in the correlative soils, and their increment is large as soil fabric being fine. These differences are related to admixture of expansive perlitic. The operator of morphology provides a new method for the image analysis of other porous material microstructure such as soils and concretes.

Keywords

eco-material / microstructure / quantitative analysis / SEM image / image processing

Cite this article

Download citation ▾
Ji-ru Zhang, Yuan-zhi Liu, Zu-de Liu. Quantitative analysis of micro-porosity of eco-material by using SEM technique. Journal of Wuhan University of Technology Materials Science Edition, 2004, 19(2): 35-37 DOI:10.1007/BF03000163

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Jiru Zhang, Zude Liu. Microstructure of a Planting Material Consisted of Nutrition-expansive Perlitic-cement Composites. Journal of Wuhan University of Technology-Mater. Sci. Ed., 2003, 18(2): 75-78.

[2]

Jiru Zhang. Research on an Ecotypic Revetment Material and Techniques for Erosion Control of Slope. PhD Dissertation, 2002 Wuhan: Wuhan University of Technology.

[3]

Shaopeng Wu, Cewen Nan. Microstructure of Steel Fiber Reinforced Polymer-cement-based Composites. Journal of Wuhan University of Technology-Mater. Sci. Ed., 2002, 17(1): 47-49.

[4]

Warner G S, Nieber J L, Moore I D, . Characterizing Macropores in Soil by Computed Tomography. Soil Sci. Am. J., 1989, 53: 653-660.

[5]

Anderson S H, Peyton R L, Gantzer C J. Evaluation of Constructed and Natural Soil Macropores using X-ray Computed Tomography. Geoderma, 1990, 46: 13-29.

[6]

Peyton R L, Anderson S H, Gantzer C J.. Applying X-ray CT to Measure Micropore Diameters in Undisturbed Soil Cores. Geoderma, 1992, 53: 329-340.

[7]

Peyton R L, Gantzer C J, Anderson S H, . Fractal Dimension to Describe Soil Macropore Structure using X-ray Computed Tomography. Water Res., 1994, 30: 691-700.

[8]

Zeng Y, Gantzer C J, Peyton R L, . Fractal Dimension and Lacunarity Determined with X-ray Computed Tomography. Soil Sci. Soc. Am. J., 1996, 60: 1718-1724.

[9]

Baracos A.. Compositional and Structural Anisotropy of Winnipeg Soils—a Study Based on Scanning Electron Microscopy and X-ray Diffraction Analyses. Canadian Geotechnical Journal, 1977, 14(2): 125-137.

[10]

Zhang Xiaofeng, Zhang Ze. Progress in Transmission Electron Microscope, I.Concepts and Techniques, 1999 Beijing: Tsinghua University Press.

AI Summary AI Mindmap
PDF

131

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/