ZHAO Xin-yao, CHEN Jian-gong, ZHANG Hai-quan, et al. Random generation of soil-rock mixture models by rock shape database using digital imaging technology[J]. 2018, 39(12): 4691-4697.
ZHAO Xin-yao, CHEN Jian-gong, ZHANG Hai-quan, et al. Random generation of soil-rock mixture models by rock shape database using digital imaging technology[J]. 2018, 39(12): 4691-4697.DOI: 10.16285/j.rsm.2017.0850.
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.