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一种基于SEM图像研究土体颗粒及孔隙分布特征的分析方法
A New Method to Obtain the Particle and Pore Distribution Curve Based on SEM Images
【摘要】 以4处渤海海岸带黄土SEM图像为研究对象,以宏观孔隙比作为分割阈值选取的主要参考标准,基于颗粒/孔隙及裂隙分析系统(Particle/Pore and Crack Analysis System,PCAS)对海岸带黄土SEM图像进行颗粒与孔隙的划分,分别获取了颗粒及孔隙的长度、宽度、等效直径、排列方向、形状系数、周长、面积等一系列微结构参数,完成了海岸带黄土微结构的定量化研究;根据研究结果,以等效半径作为主要参考,提出了一种获取粒径或孔径小于75μm的颗粒或孔隙的分布曲线的方法,可得到与密度计法及压汞法试验结果相似性较高的累计曲线,其结果可作为密度计法及压汞法试验的补充研究方法。
【Abstract】 This work studied on the scanning electron microscope(SEM)images of coastal loess,with the macroscopic porosity ratio as the main reference standard for selecting segmentation threshold.Based on the Particle/Pore and Crack Analysis System(PCAS)system,SEM images of four coastal loess can be segmented into particles and pores,and the microstructure parameter(e.g.,length,width,equivalent diameter,direction,form factor,perimeter and area)can also be obtained.Based on quantitative results mentioned above,we proposed a method to obtain a similar curve of particle or pore distribution to the densitometer and MIP test.The result could be used as a supplementary to MIP.This study provided a new approach to study the pore distribution in the absence of MIP device.
【Key words】 loess; microstructure; SEM; particle distribution curve; pore distribution curve;
- 【文献出处】 海洋科学进展 ,Advances in Marine Science , 编辑部邮箱 ,2018年04期
- 【分类号】P642.131
- 【被引频次】8
- 【下载频次】684