Abstract
This study investigates the mechanical properties of rock material at the grain scale. A multilevel parallel bonded-grain based model (Multi Pb-GBM) is proposed to revel the microstructure of granite. The bonded modes of the samples are classified into three types: intra-grain contacts, inter-grain contacts between the same type of mineral, and inter-grain contacts between two different minerals. The parameters of the model are obtained from calculation tests of the uniaxial compressive strength and the Brazilian tension strength. Then, comprehensive simulations are conducted to examine the dynamic damage evolution of brittle granitic rock. The impact of the mineral distribution mode and the grain size coefficient on the simulated failure mode and rock strength are examined. An intact fracture-monitored system is established based on the fish function, and the behaviors of the microfractures are discussed. The results indicate that Multi Pb-GBM can effectively simulate rock mechanical problems and that it has advantages when simulating typical crystalline rocks.
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Acknowledgements
The research received support from the National Natural Science Foundation of China (Grant Nos. 42072305 and 41831293). We appreciate the kind support. Besides, we also thank Zhiwen Wang and Xueliang Duan for their contributions to this paper.
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The research received support from the National Natural Science Foundation of China (Grant Nos. 42072305 and 41831293).
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First author conducted design of study, analysis of data, drafting and revision of the manuscript. Second author was responsible for numerical methodology and the code of persistent homology analysis. Third author and fourth author provided the funding acquisition and project administration, information, and analysis. All authors gave their final approval of the manuscript version to be submitted.
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Li, G., Liu, S.Q., Ma, F.S. et al. A multilevel parallel bonded-grain based model (Multi Pb-GBM) accounting for microstructure failures of typical crystalline rocks. Bull Eng Geol Environ 81, 475 (2022). https://doi.org/10.1007/s10064-022-02976-6
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DOI: https://doi.org/10.1007/s10064-022-02976-6