›› 2010, Vol. 31 ›› Issue (11): 3435-3440.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

A method for describing microstructure of clay rebuilding in process of one-dimensional consolidation

LI Shun-qun 1, 2,GAO Ling-xia3,CHAI Shou-xi 1, 2,WANG Ying-hong4,LIU Shuang-ju 1, 2   

  1. 1. Department of Civil Engineering, Tianjin Institute of Urban Construction, Tianjin 300384, China; 2. Tianjin Key Laboratory of Soft Soil Characteristics and Engineering Environment, Tianjin Institute of Urban Construction, Tianjin 300384, China; 3. School of Civil and Architecture Engineering, Dalian Nationalities University, Dalian, Liaoning 116600, China; 4. Department of Electronic & Information Engineering, Tianjin Institute of Urban Construction, Tianjin 300384, China
  • Received:2009-01-21 Online:2010-11-10 Published:2010-11-24

Abstract:

Vacuum freeze drying method is utilized to prepare samples for SEM from one-dimensional consolidated clay, which is originally remolded and subsequently suffered the 5 grade pressures respectively. And then, simple and synthetical microstructure parameters of SEM photos obtained from horizontal, 45o inclined and vertical plane are studied to discover relation between macroscopical mechanics and micro structure. Study of simple parameters shows that grain area ratio and perimeter increase with consolidation pressure while other parameters have no constant tendency. Synthetical parameters come from two data analysis methods, namely principal component analysis and pedigree cluster analysis. It is shown that the first principal component approximately linearly increases with consolidation pressure. Samples can be exactly clustered into several families according to the pressure; and inner distance of a family nonlinearly increases with pressure. Synthetical parameter is distinctly superior to simple parameter in study of soil mechanics because the former can reflect the whole microstructure qualities; but the latter can’t.

Key words: one-dimensional consolidation, microstructure rebuilding, principal component analysis, pedigree cluster analysis

CLC Number: 

  • TU 411.92
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