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离散元法中的集料三维数字模型构建
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Construction of 3D Digital Model of Aggregate in Discrete Element Method
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    基于三维建模及PFC 5.0平台Fish语言开发一种集料三维离散元模型构建方法. 基于三维建模构建集料颗粒几何形态特征,将集料几何形态导入PFC 5.0平台构建可表征集料几何形态的clump模板;调用clump模板在一定空间内生成clump用于集料离散元模拟. 为评价该方法的有效性及准确性,使用填充度评价clump表征集料几何形态的效果,并采用单元球体数量量化虚拟集料对计算效率的影响,分析几何形态精度与填充算法效率的关系以及填充算法参数对填充度以及单元球体数量的影响. 研究结果表明:集料几何形态特征点数量为1 000 ~ 2 000能够发挥填充算法的优势;按照填充算法推荐参数生成的clump块体可以较好地平衡填充精度与计算效率. 该方法可以实现低成本、高效率生成集料三维离散元模型,为进一步数字化试件仿真提供有力技术支撑.

    Abstract:

    Based on 3D modeling and PFC 5.0 platform FISH language,a method for constructing aggregate 3D discrete element model was developed. The aggregate particle geometry was constructed based on three-dimensional modeling and the aggregate geometry was imported into the PFC 5.0 platform to construct a clump template that can characterize the aggregate geometry. Then,clump template was called to generate clump in a certain space for aggregate discrete element simulation. In order to evaluate the effectiveness and accuracy of the method,the degree of filling was used to evaluate the effect of clump on the geometry of the aggregate and the number of unit spheres was used to quantify the impact of virtual aggregates on computational efficiency. The relationship between geometric shape accuracy and the efficiency of the filling algorithm was analyzed. In addition,the effect of fill algorithm parameters on fill level and number of unit spheres was explored. The results show that the number of geometrical feature points of aggregates is 1 000 ~ 2 000,which can take advantage of the filling algorithm. The clump block generated by the recommended parameters of the filling algorithm can better balance the filling precision and calculation efficiency. The method can realize the low-cost and high-efficiency generating three-dimensional discrete element model of aggregate,and provide powerful technical support for further digital test piece simulation.

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李智,王子硕,吴文亮,孙杨勇.离散元法中的集料三维数字模型构建[J].湖南大学学报:自然科学版,2019,46(11):106~113

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  • 在线发布日期: 2019-11-25
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