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Computational model generation and RVE design o self-healing concrete

机译:计算模型的生成与自修复混凝土的设计

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Computational homogenization is a versatile tool that can extract effective properties of heterogeneous or composite material through averaging technique. Self-healing concrete (SHC) is a heterogeneous material which has different constituents as cement matrix, sand and healing agent carrying capsules. Computational homogenization tool is applied in this paper to evaluate the effective properties of self-healing concrete. With this technique, macro and micro scales are bridged together which forms the basis for multi-scale modeling. Representative volume element (RVE) is a small (microscopic) cell which contains all the microphases of the microstructure. This paper presents a technique for RVE design of SHC and shows the influence of volume fractions of different constituents, RVE size and mesh uniformity on the homogenization results.
机译:计算均质化是一种通用工具,可以通过平均技术提取异质或复合材料的有效特性。自修复混凝土(SHC)是一种异质材料,具有不同的成分,如水泥基质,砂子和载有治疗剂的胶囊。本文使用计算均质工具评估自修复混凝土的有效性能。通过这种技术,宏观尺度和微观尺度被桥接在一起,形成了多尺度建模的基础。代表性的体积元素(RVE)是一个小的(微观)细胞,其中包含微观结构的所有微观相。本文提出了一种用于SHC RVE设计的技术,并显示了不同成分的体积分数,RVE大小和网格均匀度对均质结果的影响。

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