The Application Of 3-D Discontinuity Network Modeling In Geotechnical Engineering

Jia, Hongbiao; Shu-zhi, MA

doi:10.1016/j.ijrmms.2004.03.092

Cited by 2 publications

(1 citation statement)

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“…e segmented CT images provide quantitative information to characterize internal damage of individual particles, and the quantitative analysis results can be seen in Table 2. e calculation indexes shown in Table 2 were described in [31][32][33][34]. It is clear that different mesomorphological parameters (crack number, length, width, perimeter, area, and angle) can be obtained in different slices.…”

Section: Characterization Of 3d Mesomorphological Parametersmentioning

confidence: 99%

3D XCT Mesostructure Characterization and Image‐Based Discrete Element (DE) Modelling of Failure Patterns in Coal Gangue Particles (CGPs)

Zheng

Qiu

et al. 2019

Complexity

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The paper presents an application of milli- and micro-XCT to mesostructure characterization of CGPs and failure patterns analysis using dynamic impact simulations. In this study, XCT scanning experiments are firstly conducted on CGPs, followed by a series of image analyses with qualitative results. Then, the 3D mesomorphological parameters and internal composition of individual particles are quantitatively characterized. Finally, dynamic impact loading in y-axis direction is modelled to investigate the 3D mesostructure and different impact velocity effects on failure patterns of individual particles. The studies show that the mesomorphological parameters present different distribution characteristics in individual CGPs. The approximate location of gangue phase is the key parameter that should be taken into account to study failure patterns as well as fracture mechanism of the heterogeneous rock materials. The XCT image-based numerical model proved to be an effective tool that gives insights into the mesodeformation mechanisms of heterogeneous coal rock (HCR) undergoing dynamic impact failure behavior.

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Section: Characterization Of 3d Mesomorphological Parametersmentioning

confidence: 99%