| 石建军,禹博,李竹静,颜维,许新春.球形随机骨料模型模拟自密实重晶石混凝土离析[J].南华大学学报(自然科学版),2023,(3):30~37.[SHI Jianjun,YU Bo,LI Zhujing,YAN Wei,XU Xinchun.Simulation of Segregation of Self Compacting Barite Concrete with Spherical Random Aggregate Model[J].Journal of University of South China(Science and Technology),2023,(3):30~37.] |
| 球形随机骨料模型模拟自密实重晶石混凝土离析 |
| Simulation of Segregation of Self Compacting Barite Concrete with Spherical Random Aggregate Model |
| 投稿时间：2023-01-03 |
| DOI： |
| 中文关键词: 球形随机骨料模型 自密实重晶石混凝土 混凝土离析 MATLAB FLOW3D |
| 英文关键词:spherical random aggregate model self compacting barite concrete concrete segregation MATLAB FLOW3D |
| 基金项目:湖南省科技厅重点研发计划项目(2015JC3090);湖南省自然科学基金资助项目(14JJ2083) |
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| 中文摘要: |
| 近年来,具备良好防辐射性能及良好施工性能的自密实重晶石混凝土较多地用于核电站的建设,然而重晶石骨料密度较大,更容易导致混凝土离析,离析会对混凝土的质量产生重大不利影响,以往多采用试验方法研究,费时费力且数据离散性较大。本文将自密实重晶石混凝土看作由粗骨料和砂浆组成的两相复合材料,骨料看作刚性球体,砂浆采用宾汉姆流体模型,运用MATLAB编程语言编制了圆柱体投放域球形随机骨料模型程序sjgl,带入离析试验中相关参数在MATLAB中生成了随机骨料模型。然后将骨料模型中的骨料信息导出编辑了AutoCAD脚本文件,在AutoCAD中生成了随机骨料实体模型。运用FLOW3D软件中的一般运动物体(general moving objects)模型求解模型中大粒径骨料的离析,以此来近似代表随机骨料模型的离析。对应于自密实重晶石混凝土试验离析率计算公式,定义了随机骨料模型离析率,用“像素点法”计算随机骨料模型离析率为7.30%。对《自密实混凝土应用技术规程》(JGJ/T 283—2012)建议的离析率计算公式稍作调整定义了试验离析率,为9.81%。随机骨料模型离析率与试验离析率的相对误差为25.6%,由此论证了在误差允许的范围内圆柱体投放域球形随机骨料模型可有效模拟自密实重晶石混凝土离析。 |
| 英文摘要: |
| In recent years, self-compacting barite concrete with good radiation protection performance and good construction performance has been mostly used in the construction of nuclear power plants. However, the density of barite aggregate is relatively high, which is more likely to lead to concrete segregation, which will have a significant adverse impact on the quality of concrete. In the past, experimental methods are often used for research, which is time-consuming and laborious, and the data dispersion is large. In this paper, the self-compacting barite concrete is regarded as a two-phase composite material composed of coarse aggregate and mortar, the aggregate is regarded as a rigid sphere, and the mortar adopts Bingham fluid model. The program sjgl of spherical random aggregate model in the cylinder drop area is compiled by using MATLAB programming language, and the random aggregate model is generated in MATLAB by introducing the relevant parameters from the segregation test. Then the aggregate information of the aggregate model is exported and edited into AutoCAD script file, and a random aggregate solid model is generated in AutoCAD. The general moving objects model in the FLOW3D software is used to solve the segregation of the large-particle aggregate in the model, so as to approximately represent the segregation of the random aggregate model. Corresponding to the formula for calculating the segregation rate of self-compacting barite concrete test, the segregation rate of random aggregate model is defined, and the “pixel point method” is used to calculate the segregation rate of random aggregate model as 7.30%. The formula for calculating the segregation rate suggested in the Technical Specification for the Application of Self-compacting Concrete (JGJ/T 283—2012) is slightly adjusted and the test segregation rate is defined as 9.81%. The relative error between the segregation rate of the random aggregate model and the test segregation rate is 25.6%, which proves that the spherical random aggregate model in the cylinder dropping area can effectively simulate the segregation of self-compacting barite concrete within the allowable range of error. |
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