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
A statistical meso-damage mechanical method for modeling trans-scale progressive failure process of rock
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论文类型:期刊论文
发表时间:2015-02-01
发表刊物:INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
收录刊物:SCIE、EI
卷号:74
页面范围:133-150
ISSN号:1365-1609
关键字:Meso-damage; Constitutive law; Trans-scale; Failure process; RVE; Mine-by test tunnel
摘要:Starting from the concept of Representative Volume Element (RVE) at the mesoscopic scale, a statistical meso-damage mechanical method (SMDMM) is developed to model the trans-scale progressive Failure process of rock, based on the statistical and continuum damage mechanics theory and the finite element method (FEM). The proposed mesoscopic constitutive law of RVE is established within the framework of elastic-brittle-damage theory in which the double damage functions correspond to a tensile and compressive damage surface. A statistical approach is employed to describe the mesoscopic heterogeneity of rock material. The damage evolution and accumulation of mesoscopic RVEs is used to reflect the macroscopic failure characteristics of rock. The global stress and strain fields are solved by the FEM. An element represents a RVE, the initiation and propagation of meso-macroscopic trans-scale cracks and their interaction are manifested by removing the failed elements. Numerical analyses are carried out on a few groups of laboratory-scale rock specimens and the effects of RVE size, material homogeneity and quasi-static loading step length are investigated. Finally, a full-scale Atomic Energy of Canada Limited (AECL) Mine-by test tunnel is simulated. The proposed SMDMM is calibrated and validated for its trans-scale modeling capability to reproduce the shape and size of excavation damage zone profile around the tunnel. Accordingly, the simulation results are compared with experimental observations and numerical results predicted by other models. It is shown that the SMDMM has good performance for modeling the rock failure process from meso- to engineering/field-scale. (C) 2015 Elsevier Ltd. All rights reserved.