Stochastic predictions of interfacial characteristic of polymeric nanocomposites (PNCs)
- Authors
- Vu-Bac, N.; Lahmer, T.; Zhang, Y.; Zhuang, X.; Rabczuk, T.
- Issue Date
- 3월-2014
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Nano-structures; Polymer-matrix composites (PMCs); Interface/interphase; Computational modeling; Stochastic prediction
- Citation
- COMPOSITES PART B-ENGINEERING, v.59, pp.80 - 95
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMPOSITES PART B-ENGINEERING
- Volume
- 59
- Start Page
- 80
- End Page
- 95
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/99140
- DOI
- 10.1016/j.compositesb.2013.11.014
- ISSN
- 1359-8368
- Abstract
- The effect of the single-walled carbon nanotube (SWCNT) radius, the temperature and the pulling velocity on interfacial shear stress (ISS) is studied by using the molecular dynamics (MD) simulations. Based on our MD results, the mechanical output (ISS) is best characterized by the statistical Weibull distribution. Further, we also quantify the influence of the uncertain input parameters on the predicted ISS via sensitivity analysis (SA). First, partial derivatives in the context of averaged local SA are computed. For computational efficiency, the SA is based on surrogate models (polynomial regression, moving least squares (MLS) and hybrid of quadratic polynomial and MLS regressions). Next, the elementary effects are determined on the mechanical model to identify the important parameters in the context of averaged local SA. Finally, the approaches for ranking of variables (SA based on coefficients of determination) and variance-based methods are carried out based on the surrogate model in order to quantify the global SA. All stochastic methods predict that the key parameters influencing the ISS is the SWCNT radius followed by the temperature and pulling velocity, respectively. (C) 2013 Elsevier Ltd. All rights reserved.
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