4.7 Article

Simulation of the rock meso-fracturing process adopting local multiscale high-resolution modeling

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijrmms.2021.104753

Keywords

Failure process; Meso-fracturing; High-resolution modeling; Non-conforming mesh; Finite element method

Funding

  1. National Natural Science Foundation of China [52079019, 52009016, 51879034, 51679028, 41941018]
  2. Natural Science Foundation of Liaoning Province China [2019MS048]

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This study introduces a local multiscale high-resolution modeling strategy that can save computational cost effectively in rock fracturing process and avoid calculation waste in local fracturing. The simulation results are consistent with global uniform mesh modeling and physical tests. The combination of the SMDMM and LMHM is shown to be an efficient strategy for modeling the transscale progressive failure process of rock.
The continuum mesoscopic model-based methods are popular in rock fracturing process simulation, because of their powerful trans-scale failure characterization capability. However, for high-resolution characterization of cracks, large-scale global uniform meso-scale elements may lead to serious computational time-space burden. This study is aimed at developing a local multiscale high-resolution modeling (LMHM) strategy, which adopts a high-resolution mesh only in the region of interest instead of a global uniform mesoscopic mesh. Then, based on the statistical meso-damage mechanical method (SMDMM), the meso-fracturing process simulation of rock is achieved. The simulation results of several numerical examples show that the advantages of LMHM are that it can save a lot of computational cost, and avoid calculation waste effectively in treating local fracturing of rock. The simulated failure patterns adopting LMHM are consistent with those of global uniform mesh modeling and physical tests. Meanwhile, the local high-precision stress field of the model can be obtained. It is shown that combination of the SMDMM and LMHM presented in this study is an efficient strategy for modeling the transscale progressive failure process of rock.

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