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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.

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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
ORCID for Tanmoy Mukhopadhyay: ORCID iD orcid.org/0000-0002-0778-6515

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

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Contributors

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

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