混凝土受拉性能多尺度均匀化数值模拟研究
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  • 英文篇名:Numerical simulation of the tensile behavior of concrete using multi-scale homogenization approach
  • 作者:王江 ; 许斌 ; 陈洪兵
  • 英文作者:Wang Jiang;Xu Bin;Chen Hongbing;College of Civil Engineering, Huaqiao University;Key Laboratory for Structural Engineering and Disaster Prevention of Fujian Province, Huaqiao University;College of Civil Engineering, Hunan University;
  • 关键词:随机骨料模型 ; 蒙特卡罗法 ; 等效化模型 ; 均匀化模型
  • 英文关键词:random aggregate structure;;Monte Carlo method;;equivalent model;;homogenization model
  • 中文刊名:YYLX
  • 英文刊名:Chinese Journal of Applied Mechanics
  • 机构:华侨大学土木工程学院;华侨大学福建省结构工程与防灾重点实验室;湖南大学土木工程学院;
  • 出版日期:2019-02-01 16:56
  • 出版单位:应用力学学报
  • 年:2019
  • 期:v.36;No.157
  • 基金:国家自然科学基金委员会国际(地区)合作与交流项目(51261120374);; 华侨大学研究生科研创新基金(18011086007)
  • 语种:中文;
  • 页:YYLX201903007
  • 页数:10
  • CN:03
  • ISSN:61-1112/O3
  • 分类号:44-52+261
摘要
为研究混凝土的细观结构对其受拉性能的影响,本文首先采用蒙特卡罗方法生成了多组混凝土随机骨料模型;然后划分有限元网格并映射到所建立的混凝土随机骨料数值模型上,采用复合材料均匀化方法建立了混凝土多尺度均匀化数值模型。考虑骨料随机分布和骨料形状,通过数值分析得到了在单轴拉伸情况下混凝土损伤分布特性及宏观应力-应变关系,在考虑随机性与非均质性的同时得到了较为理想的结果。运用多尺度均匀化的建模方法不仅能反应混凝土细观结构的影响,而且等效化模型的模拟计算时间大大减少,节约计算资源,提高了计算效率,具有优越性。
        Multi-scale simulation methods are useful for the study on the effects of concrete mesoscopic structure on its characteristics, but cost and requirement on computation recourse are high. In order to study the effects of the mesoscopic structure of concrete model on its tensile behavior, a mesoscopic numerical concrete model composed of random aggregates and mortar matrix is generated at first based on the Monte Carlo random sampling principle. Then, a finite element meshing is established and projected onto the numerical concrete model with random aggregates distribution based on characteristic elements of concrete. The mechanical properties of each characteristic element are determined by an equivalent modeling approach for composite materials. The stress-strain curves of concrete under uniaxial tension and the corresponding tensile damage distribution for different numerical concrete models with different aggregates distribution and aggregates shape. The ideal results are obtained while considering randomness and heterogeneity. The multi-scale homogenization method is efficient in numerical study on the behavior of concrete at mesoscopic with lower computational resource requirement.
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