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Numerical study of soil-rock mixture: Generation of random aggregate structure

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Abstract

The soil-rock mixture (SRM) is highly heterogeneous. Before carrying out numerical analysis, a structure model should be generated. A reliable way to obtain such structure is by generating random aggregate structure based on random sequential addition (RSA). The classical RSA is neither efficient nor robust since valid positions to place new inclusions are formulated by trial, which involves repetitive overlapping tests. In this paper, the algorithm of Entrance block between block A and B (EAB) is synergized with background mesh to redesign RSA so that permissible positions to place new inclusions can be predicted, resulting in dramatic improvement in efficiency and robustness.

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Authors and Affiliations

  1. State Key Laboratory of Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, 430071, China

    Li Chen, YongTao Yang & Hong Zheng

  2. Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing, 100124, China

    Hong Zheng

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  1. Li Chen
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  2. YongTao Yang
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  3. Hong Zheng
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Correspondence to YongTao Yang.

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Chen, L., Yang, Y. & Zheng, H. Numerical study of soil-rock mixture: Generation of random aggregate structure. Sci. China Technol. Sci. 61, 359–369 (2018). https://doi.org/10.1007/s11431-017-9136-9

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  • DOI: https://doi.org/10.1007/s11431-017-9136-9

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