首页> 外文期刊>International Journal of Heat and Mass Transfer >Computational microstructure modeling of transverse thermal behavior in cementitious composites filled with randomly dispersed natural fibers coated by functionally graded interphase
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Computational microstructure modeling of transverse thermal behavior in cementitious composites filled with randomly dispersed natural fibers coated by functionally graded interphase

机译:用功能分级间涂覆的随机分散的天然纤维填充水泥复合材料中横向热行为的计算微观结构建模

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摘要

To assess the overall thermal properties of lightweight natural fiber-reinforced cementitious composites (NFRCCs) developed for low-carbon constructions, the comprehensive understanding of properties and characteristics of graded interphase between fiber and matrix is vital. However, there is rare study on the graded interphase in the NFRCCs so far. The main objective of this work is to present a comprehensive numerical investigation of the influence of functionally graded interphase on the effective thermal conductivity of such composites. A computational microstructure model including randomly dispersed fibers coated by functionally graded interphase is established and verified by comparison to the experimental results. Then, the effective thermal conductivity of the composites is characterized with respect to the microstructure parameters. It is found that the overall thermal conductivity is weakly dependent of the fiber distribution, whilst it is significantly affected by fiber content, constituent properties, as well as interphase graded form and thickness. Moreover, the study reveals that the linear variation of the interphase property can cause higher predictions than the nonlinear variation. The proposed work will provide fundamental insight about the role of functionally graded interphase in NFRCCs, which is helpful in guiding the designing and processing of NFRCCs.
机译:为了评估为低碳结构开发的轻质天然纤维增强水泥复合材料(NFRCC)的整体热性质,对纤维和基质之间分级间相之间的性质和特征的综合了解至关重要。然而,到目前为止,对NFRCCS的分级间相互作用存在罕见的研究。这项工作的主要目的是呈现综合数值调查,对功能梯度相互作用对这种复合材料有效导热率的影响。通过与实验结果相比,建立和验证包括通过功能梯度间间涂覆的随机分散的纤维的计算微观结构模型。然后,复合材料的有效导热率相对于微结构参数表征。发现总体导热率弱依赖性纤维分布,而纤维含量显着影响,构成性质以及相互分级的形状和厚度。此外,该研究表明,间间特性的线性变化可能导致比非线性变化更高的预测。拟议的工作将提供关于在NFRCCS中功能渐进的间之间的作用的根本洞察力,这有助于引导NFRCC的设计和处理。

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