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粘性土微结构形态要素及其定量信息处理技术
引用本文:胡瑞林,李向全,官国琳.粘性土微结构形态要素及其定量信息处理技术[J].地球学报,1996,17(Z1):229-236.
作者姓名:胡瑞林  李向全  官国琳
作者单位:水文地质工程地质研究所,河北正定;水文地质工程地质研究所,河北正定;水文地质工程地质研究所,河北正定
摘    要:本文论述了粘性土微结构的形态要素及其层次关系,提出了11种结构参数并难予了相应的图像定义;以分形理论为基础确定了7项非线性结构要素的定量描述方法及其分维指标,并对其定量信息获取手段——粘性土微结构图象处理系统(MIPS)作了简要介绍。

关 键 词:粘性土  微结构  分维  图像处理

Morphologic Factors of Cohesive Soil Microstructures and Quantitative Information Processing Technique
Hu Ruilin,Li Xiangquan and Guan Guolin.Morphologic Factors of Cohesive Soil Microstructures and Quantitative Information Processing Technique[J].Acta Geoscientia Sinica,1996,17(Z1):229-236.
Authors:Hu Ruilin  Li Xiangquan and Guan Guolin
Institution:Institute of Hydrogeology and Engineering Geology, CAGS, Zhengding, Hebei;Institute of Hydrogeology and Engineering Geology, CAGS, Zhengding, Hebei;Institute of Hydrogeology and Engineering Geology, CAGS, Zhengding, Hebei
Abstract:As the authors'idea, morphologic factors of cohesive soils consist of Particle Shape, pattern, Porosity and Contact-way. Neither did these factors substitute for the structure features individualy, nor did the functions of them summing up simply reflect the engineering behaviors of soils. The morphologic system is complex, multi-administrative, dynamic and open, which characters could alter remarkably with its environmental condi-tion., But the structure state could be discribed in 11 structure parameters defined on ima-ge concept in paper, which behaved in an administrative relationship. With the Fractal the-ory, 7 non-linary structure factors of them were expressed quantitatively in corresponding factor dimensions, such as Particle Size Dim, Particle Distribution Dim, Particle Relief Dim, Pareicle Direction Dim, Porostity Dim, Pore Distribution Dim. and Contact-zone Distribu-tion Dimension, Respectively referring to the homogeneity of particles, particle distributing pattern, surface relief of grain, directive degree of particle, porosity, pore distributing pat-tern and relation between particles. In this way, the problem on mincrostructure quanfifica-tion have been solven in some extent. Anyway, all of these factors could be achieved with the Micro-structure Image Processing Systen (MIPS)developed by us . This equipment is chiefly composed of microscope, TV camera, image processor, PC computer and printer, which fundamental and working lfow are introduced in this paper. With the help of MIPS, we can obtain a lot of quantitative information about the microstructure of soils.
Keywords:clay soil  microstructure  distribution dim  image processing
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