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Modeling of fiber orientation in viscous fluid flow with application to self-compacting concrete

机译:粘性流体中纤维取向的建模及其在自密实混凝土中的应用

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In recent years, the application of Self Compacting Concrete (SCC) in industry is rapidly growing, which makes modeling of SCC casting an important part of the design process. The SCC is often combined with fiber reinforcement to deliver a high performance material, the properties of which depend on fiber orientation. Fiber reinforced SCC plays a fundamental role in reducing shrinkage effects in structures. The aim of this paper is to present a numerical model for the prediction of the fiber orientation state, determined on the basis of the knowledge of the velocity field. Statistical approach is employed, where orientation of a fiber is described by a probability distribution of the fiber angle, which evolves with the flow. Two ways how to solve the evolution of the probability distribution are presented. In the first way, evolution equation for the orientation distribution function (ODF) is derived and solved by FEM. In the second way, evolution equation for second-order orientation tensor, which represents the second statistical moment of ODF, is solved instead. The model is validated against experimental results. (C) 2015 Elsevier Ltd. All rights reserved.
机译:近年来,自密实混凝土(SCC)在工业中的应用正在迅速增长,这使得SCC铸件的建模成为设计过程中的重要组成部分。 SCC通常与纤维增强材料结合使用,以提供高性能的材料,其性能取决于纤维的取向。纤维增强的SCC在减少结构的收缩效应中起着基本作用。本文的目的是提供一个基于速​​度场知识确定的预测纤维取向状态的数值模型。采用统计方法,其中纤维的取向通过随流动而变化的纤维角的概率分布来描述。提出了两种解决概率分布演化的方法。第一种方法是,通过有限元法导出并求解定向分布函数(ODF)的演化方程。第二种方法是求解二阶取向张量的演化方程,该方程表示ODF的第二统计矩。该模型已针对实验结果进行了验证。 (C)2015 Elsevier Ltd.保留所有权利。

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