Rock and Soil Mechanics ›› 2018, Vol. 39 ›› Issue (12): 4691-4697.doi: 10.16285/j.rsm.2017.0850

• Numerical Analysis • Previous Articles     Next Articles

Random generation of soil-rock mixture models by rock shape database using digital imaging technology

ZHAO Xin-yao1, 2, CHEN Jian-gong1, 2, ZHANG Hai-quan1, 2, YANG Ze-Jun1, 2, HU Ri-cheng3   

  1. 1. School of Civil Engineering, Chongqing University, Chongqing 400045, China; 2. National Joint Engineering Research Center for Prevention and Control of Environmental Geological Hazards in The TGR Area, Chongqing University, Chongqing 400045, China; 3. Guangzhou Metro Design & Research Institute Co., Ltd., Guangzhou, Guangdong 510000, China
  • Received:2017-04-30 Online:2018-12-11 Published:2019-01-01
  • Supported by:
    This work was supported by the Key Program of National Natural Science Foundation of China(51638002).

Abstract: This paper provides a method of random generation of soil-rock mixture using digital imaging technology and rock form database technology. By MATLAB program, the boundary extraction, boundary smoothness and regularization to rock images can be obtained. After those process, the coordinate of block nodes and shape parameters needed for database construction can be extracted. The database of rock shape can be built with massive of rock samples coordinate and shape parameters. Under some constraint conditions, the data of specific rock samples could be selected from the database. After rotation and zooming, by the random distribution rule, the rock samples can be placed in a 2D space of specific shape. These are the circulation processes of model establishment. When the block proportion reached the setting limit, the soil-rock mixture model establishing finished. As to import the model into ABAQUS, a program using PYTHON language was used to realize the process. This random distribution method can take many parameters such as particle diameter, shape parameters and block proportion in consideration. It also avoids the fiction of rock shape in general soil-rock mixture random distribution and the difficulty of model data acquisition with digital imaging technology. This method provides a good way to study the general law of soil-rock mixture physical and mechanical properties.

Key words: soil-rock mixture, database, digital imaging technology, random distribution

CLC Number: 

  • TU452
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