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International Journal of Mechanics and Materials in Design

Erschienen in:

01.03.2015

An integrated computational approach for determining the elastic properties of boron nitride nanotubes

verfasst von: V. Vijayaraghavan, A. Garg, C. H. Wong, K. Tai, Pravin M. Singru

Erschienen in: International Journal of Mechanics and Materials in Design | Ausgabe 1/2015

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Abstract

An integrated computational approach is proposed to investigate the compressive strength of boron nitride nanotubes (BNNTs). In this approach, an artificial intelligence (AI) cluster comprising of multi-gene genetic programming and molecular dynamics (MD) simulation technique, was specifically designed to formulate the explicit relationship of compressive strength of BNNTs with respect to system aspect ratio (AR), temperature and vacancy defects. It was found that the novel MD based AI model is able to model the compressive strength of BNNTs very well, which is in good agreement with that of experimental results obtained from the literature. Additionally, we also conducted sensitivity and parametric analysis to find out specific influence and variation of each of the input system parameters on the compressive strength of BNNTs. It was found that the AR has the most dominating influence on the compressive strength of BNNTs.

Nächster Artikel Prediction of Young’s modulus of hexagonal monolayer sheets based on molecular mechanics

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Titel: An integrated computational approach for determining the elastic properties of boron nitride nanotubes
verfasst von: V. Vijayaraghavan
A. Garg
C. H. Wong
K. Tai
Pravin M. Singru
Publikationsdatum: 01.03.2015
Verlag: Springer Netherlands
Erschienen in: International Journal of Mechanics and Materials in Design / Ausgabe 1/2015
Print ISSN: 1569-1713
Elektronische ISSN: 1573-8841
DOI: https://doi.org/10.1007/s10999-014-9262-1

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