赵超, 杨群宇, 钟新谷, 舒小娟, 沈明燕. Voronoi-RBSM耦合的混凝土细观建模方法研究[J]. 工程力学, 2024, 41(10): 191-199. DOI: 10.6052/j.issn.1000-4750.2022.08.0730
引用本文: 赵超, 杨群宇, 钟新谷, 舒小娟, 沈明燕. Voronoi-RBSM耦合的混凝土细观建模方法研究[J]. 工程力学, 2024, 41(10): 191-199. DOI: 10.6052/j.issn.1000-4750.2022.08.0730
ZHAO Chao, YANG Qun-yu, ZHONG Xin-gu, SHU Xiao-juan, SHEN Ming-yan. RESEARCH ON VORONOI-RBSM COUPLED CONCRETE MESO MODELLING METHOD[J]. Engineering Mechanics, 2024, 41(10): 191-199. DOI: 10.6052/j.issn.1000-4750.2022.08.0730
Citation: ZHAO Chao, YANG Qun-yu, ZHONG Xin-gu, SHU Xiao-juan, SHEN Ming-yan. RESEARCH ON VORONOI-RBSM COUPLED CONCRETE MESO MODELLING METHOD[J]. Engineering Mechanics, 2024, 41(10): 191-199. DOI: 10.6052/j.issn.1000-4750.2022.08.0730

Voronoi-RBSM耦合的混凝土细观建模方法研究

RESEARCH ON VORONOI-RBSM COUPLED CONCRETE MESO MODELLING METHOD

  • 摘要: 为解决已有混凝土细观数值模拟方法计算效率低、对象尺寸受限的问题,提出一种基于Voronoi网格拓扑和刚体弹簧模型(RBSM)的混凝土细观建模新思路。该模型将混凝土视为由骨料、水泥砂浆组成的二相材料,骨料通过Voronoi单胞描述,视为刚性体,水泥砂浆简化为Voronoi单胞交界面的均布弹簧,弹簧刚度依据局部砂浆的实际情况自动定义。无需对骨料和水泥砂浆进行网格细化,可大大减少单元数量,允许Voronoi单胞在界面处侵入和分离,描述混凝土的变形、开裂等。为验证该文模型的有效性和适用性,开展了室内试验与数值模拟的对比研究,并分析了骨料占比等参数的敏感性。结果表明:基于Voronoi-RBSM的混凝土细观模型,可以较为高效、准确预测混凝土构件在加载过程中细观力学响应,对于尺寸较小的混凝土试件、尺寸较大钢筋混凝土简支梁均有较好的细观模拟效果,尤其是当网格尺寸与骨料平均粒径接近时,预测结果与试验结果最为接近。此外,模型的预测精度受骨料体积占比影响,骨料体积占比越小精度越低,因此,并不适用于浆体占比高的混凝土材料细观数值模拟。

     

    Abstract: To overcome the problems of low computational efficiency and limited object size of existing concrete meso numerical simulation methods, a new idea of concrete meso modelling based on Voronoi mesh topology and rigid body spring model (RBSM) is proposed. In this model, concrete is regarded as a two-phase material composed of aggregate and cement mortar. The aggregate is described by Voronoi cell and regarded as a rigid body. The cement mortar is simplified as a uniformly distributed spring at the interface of Voronoi cells. The spring stiffness is automatically defined according to the actual situation of local mortar. It is unnecessary to refine the mesh of aggregate and cement mortar, which allow Voronoi cells to invade and separate at the interface and describe the deformation and cracking of concrete. To verify the effectiveness and applicability of the model, comparative study between indoor tests and numerical simulation was carried out, and the sensitivity of parameters such as the proportion of aggregate was analyzed. Results show that the model can predict the meso mechanical response of concrete members in the loading process more efficiently and accurately and has a good meso simulation effect for smaller concrete specimens and larger reinforced concrete simply supported beams, especially when the mesh size is close to the average particle size of aggregate. In addition, the prediction accuracy of the model is affected by the proportion of aggregate volume. The accuracy of numerical simulation decreases with the decrease of aggregate proportion. Therefore, it is not suitable for meso numerical simulation of concrete materials with high proportion of slurry.

     

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