Abstract
This research provides a method of random generation of Soil-rock Mixture (SRM) model depends on digital imaging technology and rock stone database technology. With processed rock shape diagrams, database of rock shape had been built and a method of random generation depend on this database had been provided. The SRM backfilled slope models were generated with random generation method. Couples of SRM slope models had been simulated with ABAQUS CAE to study the stability of SRM slope with different parameters variations. The influence of block stones on the slope stability is main caused by rock stones’ slipresistance effect. When the stone content is 40%-50%, the block stones gradually contact with each other and form a framework. The safety factor gradually increases. The spatial distribution of rock stones at the foot of the slope has the most obvious influence on the stability of SRM slope. With the increase of maximum block size, the slope stability decreases firstly and then increase. The sliding resistance effect is the key factor of the SRM slope stability. Aggregation of small size stones or large size stones can change the shape of the sliding surface and have great influence on the stability of the slope.
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