From unit inclusion cell to large Representative Volume Element: Comparison of effective elastic properties

2021 ◽  
pp. 104490
Author(s):  
Y.L. Zhan ◽  
W. Kaddouri ◽  
T. Kanit ◽  
Q. Jiang ◽  
L. Liu ◽  
...  
Keyword(s):  
Elastic Properties ◽  
Representative Volume Element ◽  
Volume Element ◽  
Effective Elastic Properties ◽  
Representative Volume ◽  
Large Representative

scholarly journals Micro-CT-based micromechanics and numerical homogenization for effective elastic property of ultra-high performance concrete

2019 ◽  
Vol 29 (1) ◽  
pp. 45-66 ◽  
Author(s):  
Qi Luo ◽  
Dongxu Liu ◽  
Pizhong Qiao ◽  
Zhidong Zhou ◽  
Yanlin Zhao ◽  
...  
Keyword(s):  
Elastic Properties ◽  
Representative Volume Element ◽  
High Performance ◽  
High Performance Concrete ◽  
Volume Element ◽  
Image Resolution ◽  
Micro Ct ◽  
Ultra High Performance Concrete ◽  
Freeze Thaw ◽  
Representative Volume

A computational homogenization model using microstructures obtained from X-ray micro-CT is developed to estimate the porosity-based elastic properties of ultra-high performance concrete under freeze–thaw action. The model is transformed directly from micro-CT which is capable of reflecting realistic distribution of porosity and heterogeneities inside the ultra-high performance concrete. Factors are taken into consideration, including the determination of representative volume element, the position and numbers of representative volume element cubes, fiber orientation, image resolution, applied filter, and pore distribution. The relationship between the material internal structure and freeze–thaw resistance is studied at micro-scale. The volume-averaged homogenization approach is applied to calculate the effective properties of the ultra-high performance concrete which are compared with experimental data. It is demonstrated that the proposed model provides an effective tool to evaluate the elastic properties of the ultra-high performance concrete based on microstructural characterization data.

Modeling of Cementitious Representative Volume Element with Additives

2017 ◽  
Vol 08 (02) ◽  
pp. 1750003 ◽  
Author(s):  
M. M. Shahzamanian ◽  
W. J. Basirun
Keyword(s):  
Finite Element ◽  
Fly Ash ◽  
Boundary Conditions ◽  
Elastic Properties ◽  
Representative Volume Element ◽  
Volume Element ◽  
Type I ◽  
Element Analysis ◽  
Representative Volume ◽  
Mesh Density

CEMHYD3D has been employed to simulate the representative volume element (RVE) of cementitious systems (Type I cement) containing fly ash (Class F) through a voxel-based finite element analysis (FEA) approach. Three-dimensional microstructures composed of voxels are generated for a heterogeneous cementitious material consisting of various constituent phases. The primary focus is to simulate a cementitious RVE containing fly ash and to present the homogenized macromechanical properties obtained from its analysis. Simple kinematic uniform boundary conditions as well as periodic boundary conditions were imposed on the RVE to obtain the principal and shear moduli. Our current work considers the effect of fly ash percentage on the elastic properties based on the mass and volume replacements. RVEs with lengths of 50, 100 and 200[Formula: see text][Formula: see text] at different degrees of hydration are generated, and the elastic properties are modeled and simulated. In general, the elastic properties of a cementitious RVE with fly ash replacement for cement based on mass and volume differ from each other. Moreover, the finite element (FE) mesh density effect is studied. Results indicate that mechanical properties decrease with increasing mesh density.

scholarly journals Optimization of weight and elastic properties for unidirectional glass fiber reinforced composites

2021 ◽  
Vol 11 (5) ◽  
pp. 206-214
Author(s):  
Mortda Mohammed Sahib Al-Hamzawi ◽  
Szabolcs Szávai
Keyword(s):  
Elastic Properties ◽  
Representative Volume Element ◽  
Glass Fibers ◽  
Element Model ◽  
Volume Element ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Representative Volume ◽  
Trade Offs ◽  
Material Stiffness

Glass fibers reinforcing composites (GFRC) are the most common industrial materials due to their low weight and superior strength. Microstructure modeling provides a practical approach for predicting the behavior of the composite based on the constituent's property. The weight and mechanical properties of composite materials play a significant role in various applications such as aviation, marines, and vehicles industries. In this study, a microstructure model of (GFRC) is developed for a multi-objective optimization problem involving trade-offs between weight minimizing and material stiffness-enhancing. A finite element model of a representative volume element (RVE) of a material's microstructure is used to predict the elastic properties of the fiber and the matrix composites. Composite properties such as elasticity and density can be obtained directly from the RVE and extrapolated to a larger scale. The representative volume element (RVE) is generated by using commercial software (Abaqus); then, the non-GUI mode is called by Isight Software to solve multi-objective optimization by using Archive based Micro Genetic (AMGA) Algorithm to obtain optimum design of composite RVE.

Property Prediction of Composites with Different Fiber Volume Fractions by Representative Volume Element Method

2013 ◽  
Vol 275-277 ◽  
pp. 1605-1609
Author(s):  
Nan Zhang ◽  
Cheng Hong Duan
Keyword(s):  
Elastic Properties ◽  
Representative Volume Element ◽  
Fiber Volume Fraction ◽  
Empirical Equation ◽  
Volume Fraction ◽  
Volume Element ◽  
Fiber Volume ◽  
Finite Element Software ◽  
Representative Volume ◽  
Properties Of Composites

In this paper, a representative volume element (RVE) model of composites with different fiber volume fraction is established by ANSYS finite element software. The stiffness matrix of the RVE model can be calculated by studying its stress field, and then the elastic properties of composites could be obtained. By comparing with the results from NASA empirical equation, the reliability of the method can be proved. This is a new way to predict the elastic properties of composites.

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