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The role of surrogate models in the development of digital twins of dynamic systems

S. Chakraborty, Sondipon Adhikari, R. Ganguli

Applied Mathematical Modelling, Volume: 90, Pages: 662 - 681

Swansea University Author: Sondipon Adhikari

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DOI (Published version): 10.1016/j.apm.2020.09.037

Abstract

Digital twin technology has significant promise, relevance and potential of widespread applicability in various industrial sectors such as aerospace, infrastructure and automotive. However, the adoption of this technology has been slower due to the lack of clarity for specific applications. A discre...

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Published in: Applied Mathematical Modelling
ISSN: 0307-904X
Published: Elsevier BV 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa55324
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spelling 2020-11-30T14:11:05.5933020 v2 55324 2020-10-05 The role of surrogate models in the development of digital twins of dynamic systems 4ea84d67c4e414f5ccbd7593a40f04d3 Sondipon Adhikari Sondipon Adhikari true false 2020-10-05 FGSEN Digital twin technology has significant promise, relevance and potential of widespread applicability in various industrial sectors such as aerospace, infrastructure and automotive. However, the adoption of this technology has been slower due to the lack of clarity for specific applications. A discrete damped dynamic system is used in this paper to explore the concept of a digital twin. As digital twins are also expected to exploit data and computational methods, there is a compelling case for the use of surrogate models in this context. Motivated by this synergy, we have explored the possibility of using surrogate models within the digital twin technology. In particular, the use of Gaussian process (GP) emulator within the digital twin technology is explored. GP has the inherent capability of addressing noisy and sparse data and hence, makes a compelling case to be used within the digital twin framework. Cases involving stiffness variation and mass variation are considered, individually and jointly, along with different levels of noise and sparsity in data. Our numerical simulation results clearly demonstrate that surrogate models, such as GP emulators, have the potential to be an effective tool for the development of digital twins. Aspects related to data quality and sampling rate are analysed. Key concepts introduced in this paper are summarised and ideas for urgent future research needs are proposed. Journal Article Applied Mathematical Modelling 90 662 681 Elsevier BV 0307-904X Digital twin, vibration, response, frequency, surrogate 1 2 2021 2021-02-01 10.1016/j.apm.2020.09.037 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2020-11-30T14:11:05.5933020 2020-10-05T12:34:29.4079625 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised S. Chakraborty 1 Sondipon Adhikari 2 R. Ganguli 3 55324__18431__1b8ce60429ae46be9ec2ec318ab299ed.pdf 55324.pdf 2020-10-16T16:23:30.2650075 Output 4688858 application/pdf Accepted Manuscript true 2021-09-28T00:00:00.0000000 ©2020 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title The role of surrogate models in the development of digital twins of dynamic systems
spellingShingle The role of surrogate models in the development of digital twins of dynamic systems
Sondipon Adhikari
title_short The role of surrogate models in the development of digital twins of dynamic systems
title_full The role of surrogate models in the development of digital twins of dynamic systems
title_fullStr The role of surrogate models in the development of digital twins of dynamic systems
title_full_unstemmed The role of surrogate models in the development of digital twins of dynamic systems
title_sort The role of surrogate models in the development of digital twins of dynamic systems
author_id_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3
author_id_fullname_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3_***_Sondipon Adhikari
author Sondipon Adhikari
author2 S. Chakraborty
Sondipon Adhikari
R. Ganguli
format Journal article
container_title Applied Mathematical Modelling
container_volume 90
container_start_page 662
publishDate 2021
institution Swansea University
issn 0307-904X
doi_str_mv 10.1016/j.apm.2020.09.037
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Digital twin technology has significant promise, relevance and potential of widespread applicability in various industrial sectors such as aerospace, infrastructure and automotive. However, the adoption of this technology has been slower due to the lack of clarity for specific applications. A discrete damped dynamic system is used in this paper to explore the concept of a digital twin. As digital twins are also expected to exploit data and computational methods, there is a compelling case for the use of surrogate models in this context. Motivated by this synergy, we have explored the possibility of using surrogate models within the digital twin technology. In particular, the use of Gaussian process (GP) emulator within the digital twin technology is explored. GP has the inherent capability of addressing noisy and sparse data and hence, makes a compelling case to be used within the digital twin framework. Cases involving stiffness variation and mass variation are considered, individually and jointly, along with different levels of noise and sparsity in data. Our numerical simulation results clearly demonstrate that surrogate models, such as GP emulators, have the potential to be an effective tool for the development of digital twins. Aspects related to data quality and sampling rate are analysed. Key concepts introduced in this paper are summarised and ideas for urgent future research needs are proposed.
published_date 2021-02-01T04:09:27Z
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score 11.037253

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