唐春安

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:President of international exchange committee of the Chinese Society of Rock Mechanics and Engineering CSRME

其他任职:国际岩石力学与岩石工程学会(ISRM)中国国家小组副主席

性别:男

毕业院校:东北大学

学位:博士

所在单位:土木工程系

办公地点:综合实验四号楼330

联系方式:tca@mail.neu.edu.cn

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Morphologic Interpretation of Rock Failure Mechanisms Under Uniaxial Compression Based on 3D Multiscale High-resolution Numerical Modeling

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论文类型:期刊论文

发表时间:2015-11-01

发表刊物:ROCK MECHANICS AND ROCK ENGINEERING

收录刊物:SCIE、EI、Scopus

卷号:48

期号:6

页面范围:2235-2262

ISSN号:0723-2632

关键字:Failure mechanisms; Fracture surface; Mesoscopic; Morphologic; Multiscale; RVE; Uniaxial compression

摘要:Multiscale continuous lab oratory observation of the progressive failure process has become a powerful means to reveal the complex failure mechanism of rock. Correspondingly, the representative volume element (RVE)-based models, which are capable of micro/meso- to macro-scale simulations, have been proposed, for instance, the rock failure process analysis (RFPA) program. Limited by the computational bottleneck due to the RVE size, multiscale high-resolution modeling of rock failure process can hardly be implemented, especially for three-dimensional (3D) problems. In this paper, the self-developed parallel RFPA(3D) code is employed to investigate the failure mechanisms and various fracture morphology of laboratory-scale rectangular prism rock specimens under unconfined uniaxial compression. The specimens consist of either heterogeneous rock with low strength or relatively homogeneous rock with high strength. The numerical simulations, such as the macroscopic fracture pattern and stress-strain responses, can reproduce the well-known phenomena of physical experiments. In particular, the 3D multiscale continuum modeling is carried out to gain new insight into the morphologic interpretation of brittle failure mechanisms, which is calibrated and validated by comparing the actual laboratory experiments and field evidence. The advantages of 3D multiscale high-resolution modeling are demonstrated by comparing the failure modes against 2D numerical predictions by other models. The parallel RVE-based modeling tool in this paper can provide an alternative way to investigate the complicated failure mechanisms of rock.