代表性基本卷
沃罗诺图
中尺度气象学
随机性
断裂(地质)
材料科学
材料性能
叠加原理
比例(比率)
压力(语言学)
统计物理学
机械
数学
数学分析
几何学
统计
复合材料
地质学
物理
微观结构
量子力学
气候学
哲学
语言学
作者
Katherine Acton,Bahador Bahmani,Reza Abedi
标识
DOI:10.1115/imece2018-88249
摘要
To accurately simulate fracture, it is necessary to account for small-scale randomness in the properties of a material. Apparent properties of Statistical Volume Elements (SVE), can be characterized below the scale of a Representative Volume Element (RVE). Apparent properties cannot be defined uniquely for an SVE, in the manner that unique effective properties can be defined for an RVE. Both constitutive behavior and material strength properties in SVE must be statistically characterized. The geometrical partitioning method can be critically important in affecting the probability distributions of mesoscale material property parameters. Here, a Voronoi tessellation based partitioning scheme is applied to generate SVE. Resulting material property distributions are compared with those from SVE generated by square partitioning. The proportional limit stress of the SVE is used to approximate SVE strength. Superposition of elastic results is used to obtain failure strength distributions from boundary conditions at variable angles of loading.
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