Mechanical testing is direct and reliable, but it is also time-consuming and expensive. mechanical testing, analytical micromechanics models and finite element modeling of representative volume element (RVE). There are primarily three categories of methods available for the prediction of composite properties, i.e. Prediction of composite elasticity constants based on phase properties is a key task in the design of various composite materials.
Introduction Particulate composite materials are widely used in industrial products and engineering structures due to their merits such as easy-to-manufacture, customized mechanical properties and great flexibility of design. We conclude that VB-FEM is an effective tool for elasticity prediction of particulate composites.ġ. Besides overcoming the mentioned challenges, VB-FEM has a number of additional advantages over GB-FEM. Regarding their computational efficiency, although for the composite having regularly-distributed and large-size inclusions, GB-FEM is significantly more efficient than VB-FEM However, for the composite having randomly-distributed and small-size inclusions, VB-FEM has similar and even higher efficiency than GB-FEM. The results show that upon convergence, elasticity constants characterized by VB-FEM and GB-FEM have excellent agreement. We compared the performance of GB-FEM and VB-FEM in two representative numerical examples.
The rest steps are the same as those in GB-FEM. In contrast to GB-FEM, VB-FEM first generates a uniform grid mesh and then identifies elements that belong to the inclusions. To overcome these challenges, we developed a voxel-based finite element modeling (VB-FEM) procedure. time-consuming in the construction of workable geometric models and in the generation of high-quality finite element meshes. However, there are a number of challenges in the conventional geometry-based finite element modeling (GB-FEM) of RVE, e.g. Microstructure-based finite element modeling of composite representative volume element (RVE) has a number of advantages over experimental and analytical methods for the task. Elasticity prediction based on phase properties is an important task in the analysis and design of composite materials.
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