The University of Southampton
University of Southampton Institutional Repository

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

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

Nano-twinned structures are mechanically stronger, ductile and stable than its non-twinned form. Wehave 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 nanotwinned 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.

D-optimal design, Molecular dynamics, Nano-twinned copper, Polynomial chaos expansion, Probabilistic analysis
Mahata, Avik
1af2dde8-0a7a-453c-824f-aac24d25af50
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Adhikari, Sondipon
12cf62cf-340a-4da6-9ad4-f4dd64384a73
Mahata, Avik
1af2dde8-0a7a-453c-824f-aac24d25af50
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Adhikari, Sondipon
12cf62cf-340a-4da6-9ad4-f4dd64384a73

Mahata, Avik, Mukhopadhyay, Tanmoy and Adhikari, Sondipon (2016) A polynomial chaos expansion based molecular dynamics study for probabilistic strength analysis of nano-twinned copper. Materials Research Express, 3 (3), [036501]. (doi:10.1088/2053-1591/3/3/036501).

Record type: Article

Abstract

Nano-twinned structures are mechanically stronger, ductile and stable than its non-twinned form. Wehave 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 nanotwinned 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.

This record has no associated files available for download.

More information

Published date: March 2016
Additional Information: Publisher Copyright: © 2016 IOP Publishing Ltd.
Keywords: D-optimal design, Molecular dynamics, Nano-twinned copper, Polynomial chaos expansion, Probabilistic analysis

Identifiers

Local EPrints ID: 483529
URI: http://eprints.soton.ac.uk/id/eprint/483529
PURE UUID: 3d99c5b5-e2af-4479-9ae2-ecfea3c9bc1b

Catalogue record

Date deposited: 01 Nov 2023 17:51
Last modified: 18 Mar 2024 04:10

Export record

Altmetrics

Contributors

Author: Avik Mahata
Author: Tanmoy Mukhopadhyay
Author: Sondipon Adhikari

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×