Mechanical properties of bimrocks with high rock block proportion

来源期刊:中南大学学报(英文版)2019年第12期

论文作者:雷明锋 林越翔 彭立敏 杨伟超 刘建文

文章页码:3397 - 3409

Key words:block-in-matrix-rock; high rock block proportion; resonance frequency test; general regression neural network

Abstract: For the investigation of mechanical properties of the bimrocks with high rock block proportion, a series of laboratory experiments, including resonance frequency and uniaxial compressive tests, are conducted on the 64 fabricated bimrocks specimens. The results demonstrate that dynamic elastic modulus is strongly correlated with the uniaxial compressive strength, elastic modulus and block proportions of the bimrocks. In addition, the density of the bimrocks has a good correlation with the mechanical properties of cases with varying block proportions. Thus, three crucial indices (including matrix strength) are used as basic input parameters for the prediction of the mechanical properties of the bimrocks. Other than adopting the traditional simple regression and multi-regression analyses, a new prediction model based on the optimized general regression neural network (GRNN) algorithm is proposed. Note that, the performance of the multi-regression prediction model is better than that of the simple regression model, owing to the consideration of various influencing factors. However, the comparison between model predictions indicates that the optimized GRNN model performs better than the multi-regression model does. Model validation and verification based on fabricated data and experimental data from the literature are performed to verify the predictability and applicability of the proposed optimized GRNN model.

Cite this article as: LIN Yue-xiang, PENG Li-min, LEI Ming-feng, YANG Wei-chao, LIU Jian-wen. Mechanical properties of bimrocks with high rock block proportion [J]. Journal of Central South University, 2019, 26(12): 3397-3409. DOI: https://doi.org/10.1007/s11771-019-4262-9.

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