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
Impact of rock microstructures on failure processes - Numerical study based on DIP technique
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论文类型:期刊论文
发表时间:2014-10-01
发表刊物:GEOMECHANICS AND ENGINEERING
收录刊物:SCIE、EI、Scopus
卷号:7
期号:4
页面范围:375-401
ISSN号:2005-307X
关键字:rock heterogeneity; digital image processing (DIP) technique; rock failure mechanism; numerical simulation
摘要:It is generally accepted that material heterogeneity has a great influence on the deformation, strength, damage and failure modes of rock. This paper presents numerical simulation on rock failure process based on the characterization of rock heterogeneity by using a digital image processing (DIP) technique. The actual heterogeneity of rock at mesoscopic scale (characterized as minerals) is retrieved by using a vectorization transformation method based on the digital image of rock surface, and it is imported into a well-established numerical code Rock Failure Process Analysis (RFPA), in order to examine the effect of rock heterogeneity on the rock failure process. In this regard, the numerical model of rock could be built based on the actual characterization of the heterogeneity of rock at the meso-scale. Then, the images of granite are taken as an example to illustrate the implementation of DIP technique in simulating the rock failure process. Three numerical examples are presented to demonstrate the impact of actual rock heterogeneity due to spatial distribution of constituent mineral grains (e.g., feldspar, quartz and mica) on the macro-scale mechanical response, and the associated rock failure mechanism at the meso-scale level is clarified. The numerical results indicate that the shape and distribution of constituent mineral grains have a pronounced impact on stress distribution and concentration, which may further control the failure process of granite. The proposed method provides an efficient tool for studying the mechanical behaviors of heterogeneous rock and rock-like materials whose failure processes are strongly influenced by material heterogeneity.