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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:中国地震局工程力学研究所
学位:博士
所在单位:土木工程系
学科:结构工程. 防灾减灾工程及防护工程
Mesoscale modelling of fibre reinforced concrete material under compressive impact loading
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论文类型:期刊论文
发表时间:2012-01-01
发表刊物:CONSTRUCTION AND BUILDING MATERIALS
收录刊物:SCIE、EI
卷号:26
期号:1
页面范围:274-288
ISSN号:0950-0618
关键字:SFRC; Mesoscale model; Impact loading; Strain rate; SHPB; DIF; Failure mechanism
摘要:This paper presents a numerical simulation of dynamic impact tests on steel fibre reinforced concrete (SFRC) specimens to study the dynamic material properties of SFRC. In the analysis, an axisymmetric mesoscale SFRC model is developed with distinctive consideration of the fibres, aggregates and cement mortar to investigate the dynamic failure behaviour of SFRC material under impact loading at different strain rates. The SFRC model composes of three components, i.e., the high strength coarse aggregates, cementitious mortar and steel fibres. To simplify the model, the coarse aggregates are assumed to have circular shape with randomly distributed size and location in the SFRC specimen. The hooked-end steel fibres are also randomly distributed in the specimen with random orientations. The developed model is used to numerically simulate a Split Hopkinson Pressure Bar Test (SHPB) on SFRC specimens. The model is created with commercial software ANSYS and VPG whilst the dynamic impact tests are simulated with the explicit hydrocode LS-DYNA. Numerical results are compared with available experimental data to verify the developed model. The verified numerical model is then used to perform a series of simulations of SFRC specimens with different volume fractions of steel fibres or without steel fibre under dynamic impact loads of different loading rates. From the numerical results, the influences of steel fibres on dynamic material properties, in particular the dynamic increase factor (DIF), and on dynamic failure mechanism of SFRC are discussed. The DIF of SFRC with different steel fibre dosages are derived from the numerical results. (C) 2011 Elsevier Ltd. All rights reserved.