Statistical multiscale homogenization approach for analyzing polymer nanocomposites that include model inherent uncertainties of molecular dynamics simulations

  • Shin, Hyunseong; 
  • Chang, Seongmin; 
  • Yang, Seunghwa; 
  • Youn, Byeng Dong; 
  • Cho, Maenghyo
Citations

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41
Citations

SCOPUS

49

초록

A statistical multiscale homogenization strategy of polymer nanocomposites is proposed to account for the inherent uncertainties of molecular dynamics (MD) simulations. The proposed statistical multiscale homogenization scheme includes a discrete MD simulation system, a continuum theory of micro mechanics of Eshelby's solution and two-scale homogenization, and Monte-Carlo simulations. The means and standard deviations of the elastic properties of the nanocomposites are quantified and discussed through statistical analyses that show the interphase effect. The elastic properties of the matrix, interphase, and composites are assumed to follow a lognormal distribution. An iterative inverse algorithm for obtaining the probability density distribution of the interphase is proposed and validated. (C) 2015 Elsevier Ltd. All rights reserved.

키워드

Polymer-matrix composites (PMCs); Interface/interphase; Computational modelling; Micro-mechanics; Statistical properties/methods; MECHANICAL-PROPERTIES; EPOXY NANOCOMPOSITES; STOCHASTIC PREDICTIONS; ELASTIC-CONSTANTS; COMPOSITES; SIZE; BEHAVIOR; DENSITY
제목
Statistical multiscale homogenization approach for analyzing polymer nanocomposites that include model inherent uncertainties of molecular dynamics simulations
저자
Shin, Hyunseong; Chang, Seongmin; Yang, Seunghwa; Youn, Byeng Dong; Cho, Maenghyo
DOI
10.1016/j.compositesb.2015.09.043
발행일
2016-02
유형
Article
저널명
Composites Part B: Engineering
권
87
페이지
120 ~ 131