No Cover Image

Journal article 851 views

A polynomial chaos expansion based molecular dynamics study for probabilistic strength analysis of nano-twinned copper

Avik Mahata, Tanmoy Mukhopadhyay, Sondipon Adhikari

Materials Research Express, Volume: 3, Issue: 3, Start page: 036501

Swansea University Author: Sondipon Adhikari

Full text not available from this repository: check for access using links below.

Abstract

Nano-twinned structures are mechanically stronger, ductile and stable than its non-twinned form. We have investigated the effect of varying twin spacing and twin boundary width (TBW) on the yield strength of the nano-twinned copper in a probabilistic framework. An efficient surrogate modelling appro...

Full description

Published in: Materials Research Express
ISSN: 2053-1591
Published: 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa32190
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract: Nano-twinned structures are mechanically stronger, ductile and stable than its non-twinned form. We have investigated the effect of varying twin spacing and twin boundary width (TBW) on the yield strength of the nano-twinned copper in a probabilistic framework. An efficient surrogate modelling approach based on polynomial chaos expansion has been proposed for the analysis. Effectively utilising 15 sets of expensive molecular dynamics simulations, thousands of outputs have been obtained corresponding to different sets of twin spacing and twin width using virtual experiments based on the surrogates. One of the major outcomes of this work is that there exists an optimal combination of twin boundary spacing and twin width until which the strength can be increased and after that critical point the nanowires weaken. This study also reveals that the yield strength of nano-twinned copper is more sensitive to TBW than twin spacing. Such robust inferences have been possible to be drawn only because of applying the surrogate modelling approach, which makes it feasible to obtain results corresponding to 40 000 combinations of different twin boundary spacing and twin width in a computationally efficient framework.
College: Faculty of Science and Engineering
Issue: 3
Start Page: 036501