Computational analysis of particle reinforced viscoelastic polymer nanocomposites - statistical study of representative volume element

被引:26
作者
Hu, Anqi [1 ]
Li, Xiaolin [2 ]
Ajdari, Amin [1 ]
Jiang, Bing [3 ]
Burkhart, Craig [4 ]
Chen, Wei [1 ]
Brinson, L. Catherine [1 ,5 ]
机构
[1] Northwestern Univ, Dept Mech Engn, Evanston, IL 60208 USA
[2] Northwestern Univ, Theoret & Appl Mech, Evanston, IL 60208 USA
[3] Goodyear Tire & Rubber Co, Global Tire Performance Predict, 200 Innovat Way, Akron, OH 44306 USA
[4] Goodyear Tire & Rubber Co, Global Mat Sci Div, 142 Goodyear Blvd, Akron, OH 44305 USA
[5] Northwestern Univ, Dept Mat Sci & Engn, Evanston, IL 60208 USA
关键词
Representative volume elements; Polymer nanocomposites; Viscoelasticity; GLASS-TRANSITION TEMPERATURE; NANOTUBE-BASED COMPOSITES; 3D FINITE-ELEMENT; ELASTIC PROPERTIES; MECHANICAL-PROPERTIES; CLAY NANOCOMPOSITES; INTERPHASE; SIMULATION; MODELS; PREDICTION;
D O I
10.1016/j.jmps.2018.02.013
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The concept of representative volume element (RVE) is widely used to determine the effective material properties of random heterogeneous materials. In the present work, the RVE is investigated for the viscoelastic response of particle-reinforced polymer nanocomposites in the frequency domain. The smallest RVE size and the minimum number of realizations at a given volume size for both structural and mechanical properties are determined for a given precision using the concept of margin of error. It is concluded that using the mean of many realizations of a small RVE instead of a single large RVE can retain the desired precision of a result with much lower computational cost (up to three orders of magnitude reduced computation time) for the property of interest. Both the smallest RVE size and the minimum number of realizations for a microstructure with higher volume fraction (VF) are larger compared to those of one with lower VF at the same desired precision. Similarly, a clustered structure is shown to require a larger minimum RVE size as well as a larger number of realizations at a given volume size compared to the well-dispersed microstructures. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:55 / 74
页数:20
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