(1. Department of Geotechnical Engineering，Tongji University，Shanghai 200092，China；
2. Department of Civil Engineering，Shaoxing University，Shaoxing，Zhejiang 312000，China；
3. Institute of Geotechnical Engineering，Zhejiang University of Science and Technology，Hangzhou，Zhejiang 310023，China)
Abstract：Systematic and reasonable statistics of the morphology of rock joints are the precondition for representative sampling of different size discontinuities，which directly impacts the validity of the scale effect test on joint shear strength. To overcome the shortcoming of the traditional uniform mesh statistics segmentation method in terms of different scales of rock joints，a progressive coverage statistical method，taking different size sample as unit sample and extracting the statistical samples of the entire rock joint in orthogonal directions with different step distances was proposed for representing the morphology of various sizes of rock joints. Based on the analysis of the basic characteristics of the proposed method，formulas between the sample capacity，coverage and coverage overlap with the advance distance were proposed. Case study shows that，with the propulsion of the unit sample，the sample overlap and a more complete unit sample can be obtained，which covers partial missing area morphology，increases the sample size and improves the accuracy of the whole sample. The progressive undulating morphology of series scale rock joints can be entirely derived by this method，which provides the sampling basis for various size samples.
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2019, Vol. 38 
