Browse > Article
http://dx.doi.org/10.7734/COSEIK.2017.30.1.23

Characteristic Analysis of Particulate Composites According to a Random Microstructure  

Park, Cheon (School of Mechanical Engineering, Pusan National Univ.)
Kang, Young-Jin (School of Mechanical Engineering, Pusan National Univ.)
Noh, Yoojeong (School of Mechanical Engineering, Pusan National Univ.)
Lim, O-Kaung (School of Mechanical Engineering, Pusan National Univ.)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.30, no.1, 2017 , pp. 23-30 More about this Journal
Abstract
Since shape, size and distribution of particles in particulate composites have spreaded characteristics, properties of particulate composites have variation and also system behavior using particulate composites have variation. However, it is difficult to consider spreaded characteristic of particles so that a system behavior is analysed using homogeneous techniques or using microstructure in local areas. In this study, for considering random variation of particles, RMDFs(random morphology description functions) are used to generate random microstructure and relationship between the number of gaussian functions and spreaded characteristic of particles was analysed using the geometrical moment of area. Also, multi-scale analysis was carried out for cantilever beam with full-random microstructure to study behavior of particulate composites structure. As a result, it is defined that spreaded characteristic of particles and the variation of deflections of cantilever beam are decreased as the number of Gaussian functions(N) is increased and converges at N=200.
Keywords
multi-scale analysis; particulate composites; random microstructure; RMDFs;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Cho, J.R., Choi, J.H., Shin, D.S. (2008) Numerical Analysis for the Characteristic Investigation of Homogenization Techniques Used for Equivalent Material Properties of Functionally Graded Material, J. Comput. Struct. Eng. Inst. Korea, 21(1), pp.13-20.
2 Cho, J.R., Kang, Y.J., Jeong, K.Y., Noh, Y.J., Lim, O.K. (2012) Homogenization and Thermoelastic Analysis of Heterogenous Material with Regular and Random Microstructures, Compos.: Part B, 43(5), pp.2313-2323.   DOI
3 Goupee, A.J., Vel, S.S. (2010) Multiscale Thermoelastic Analysis of Random Heterogeneous Materials Part II: Direct Micromechanical Failure Analysis and Multiscale Simulation, Comput. Mater. Sci., 48(1), pp.39-53.   DOI
4 Grujicic, M., Zhang, Y. (1998) Determination of Effective Elastic Properties of Functionally Graded Materials using Voronoi Cell Finite Element Method, Mater. Sci. & Eng.: A, 251(1), pp.64-76.   DOI
5 Niino, M., Kisara, K. (2004) The Present Status of the Functionally Graded Materials and Future Prediction, J. Japan Soc. Powder & Powder Metall., 51(4), pp.242-249.   DOI
6 Reiter, T., Dvorak, G.J., Tvergaard, V. (1997) Micromechanical Models for Graded Composite Materials, J. Mech. & Phys. Solids, 45(8), pp.1281-1302.   DOI
7 Roberts, A.P., Teubner, M. (1995) Transport Properties of Heterogeneous Materials Derived from Gaussian Random Fields: Bounds and Simulation, Phys. Rev. E, 51(5) pp.4141-4154.   DOI
8 Vel, S.S., Goupee, A.J. (2010) Multiscale Thermoelastic Analysis of Random Heterogeneous Materials Part I: Microstructure Characterization and Heterogeneous Materials Properties, Comput. Mater. Sci., 48(1), pp.22-38.   DOI
9 Wakashima, K., Tsukamoto, H. (1991) Mean-field Micromechanics Model and Its Application to the Analysis of Thermomechanical behaviour of Comp Osite Materials, Mater. Sci. & Eng.: A, 146(1), pp.291-316.   DOI