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论文成果
随机凹凸型骨料在混凝土细观数值模型中配置算法研究
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发表时间: 2008-01-01
发表刊物: 大连理工大学学报
所属单位: 建设工程学部
期号: 6
页面范围: 869-874
ISSN号: 1000-8608
摘要: The meso-mechanics analysis on the basis of numerical random aggregate model can provide convincing theoretical and numerical supports for the macroscopic strength analysis of concrete structure. According to the objective various aggregate grading curves, an improved numerical method is presented for the aggregate numerical generation with random shape and particle size, which breaks the numerical limit of convex aggregates in other common methods. During the aggregate generation process, techniques of distinguishing overlap regions and filling complex regions on the computer graphics are used to remove the regional overlap in the packing process. The definition of dimensional extreme ratio for particle size is proposed to control the figure of random rock aggregates. Also, an effective method under a little artificial interference is adopted in the forming process of concrete meso-mechanics model to improve the successful probability. The efficiency and feasibility of the presented random aggregate generation method is numerically validated by the practical generation results.
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陈健云

教授   博士生导师   硕士生导师

性别: 男

毕业院校:大连理工大学

学位: 博士

所在单位:水利工程系

学科:水工结构工程. 防灾减灾工程及防护工程. 结构工程. 工程管理

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