The effect of approximation accuracy of the orientation distribution function on the elastic properties of short fibre reinforced composites

作     者：Eik, Marika Puttonen, Jari Herrmann, Heiko 

作者机构：Aalto Univ Dept Civil Engn Sch Engn Rakentajanaukio 4 A Espoo Finland Tallinn Univ Technol Ctr Nonlinear Studies Inst Cybernet Akad Tee 21 EE-12618 Tallinn Estonia 

出 版 物：《COMPOSITE STRUCTURES》 (复合材料结构)

年 卷 期：2016年第148卷

页      面：12-18页

核心收录：

学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 0801[工学-力学（可授工学、理学学位）] 

基　　金：Academy of Finland Post-doctoral Researcher grant "Personal Research Funding" project [PUT1146] European Union through the European Regional Development Fund 

主　　题：Orientation distribution function Approximation accuracy Steel fibre reinforced concrete Orthotropic elasticity 

摘      要：In present paper the authors are focusing on the features of the orientation distribution function (ODF), used to give a probabilistic assessment to the orientation of fibres in fibre reinforced composites. The ODF can be approximated using experimental data and used to evaluate the anisotropic effect of fibres in considered directions. The hardened orthotropic elastic properties of steel fibre reinforced concrete (SFRC), evaluated based on the approximated ODF with different orders of accuracy are used as a case study. Input data for the approximation of the ODF are individual orientations of fibres measured by X-ray micro-tomography method. The study outcomes revealed that the orthotropic elastic properties of SFRC may not be estimated accurately enough by using only the second order terms in the reconstruction of the ODF. The accuracy of the stiffness matrix components is sensitive for the orientation distribution type and the approximation of the ODF, and this should be considered in all FE applications using the ODF approach. Besides, within the study the relation between the values of the scalar-order parameter S, evaluating how well the fibres are aligned with each other, and the approximation orders of the ODF is established. (C) 2016 Elsevier Ltd. All rights reserved.