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Probability analysis of bistable composite laminates using the subset simulation method

Saeid Saberi, Azam Abdollahi, Michael Friswell

Composite Structures, Volume: 271, Start page: 114120

Swansea University Author: Michael Friswell

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DOI (Published version): 10.1016/j.compstruct.2021.114120

Abstract

Bistable composite laminates are advanced composite structures which are potential candidates for morphing structure applications. The geometrical dimensions, material properties, ambient temperature and moisture have significant effects on the bistable behaviour, and the effect of uncertain paramet...

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Published in: Composite Structures
ISSN: 0263-8223
Published: Elsevier BV 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa56929
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first_indexed 2021-05-20T08:37:04Z
last_indexed 2021-06-22T03:21:22Z
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spelling 2021-06-21T16:30:22.7970504 v2 56929 2021-05-20 Probability analysis of bistable composite laminates using the subset simulation method 5894777b8f9c6e64bde3568d68078d40 Michael Friswell Michael Friswell true false 2021-05-20 FGSEN Bistable composite laminates are advanced composite structures which are potential candidates for morphing structure applications. The geometrical dimensions, material properties, ambient temperature and moisture have significant effects on the bistable behaviour, and the effect of uncertain parameters should be quantified. Reliability analysis is well established for the quantitative assessment of the probability of an event due to parameter uncertainty. Thus, subset simulation is applied to the reliability and sensitivity analysis of bistable composite plates with multiple random parameters. The bistability probability is estimated using the principle of minimum energy; the Rayleigh-Ritz method is used to develop the equations of motion and the limit state function. The results indicate that the stacking sequence has a large effect on bistability probability, and cross-ply composite laminates are most likely to be bistable. Moreover, moisture absorption by the laminate can dramatically reduce this probability. The sensitivity reliability analysis demonstrates that for bistable laminates subject to humidity, the coefficient of thermal and moisture expansions have the greatest influence on the bistability probability. However, for bistable laminates without moisture the thickness is the most important factor. The accuracy and efficiency of the subset simulation method is validated by Monte Carlo simulation. Journal Article Composite Structures 271 114120 Elsevier BV 0263-8223 Bistable Composite Laminate, Reliability Analysis, Subset Simulation, Sensitivity Analysis, Uncertainty Quantification, Advanced Composites 1 9 2021 2021-09-01 10.1016/j.compstruct.2021.114120 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2021-06-21T16:30:22.7970504 2021-05-20T09:35:02.8823338 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Saeid Saberi 1 Azam Abdollahi 2 Michael Friswell 3 56929__20209__a63746f4402d4bea87458d067a589ce2.pdf 56929.pdf 2021-06-21T16:26:44.2935474 Output 1349943 application/pdf Accepted Manuscript true 2022-05-16T00:00:00.0000000 ©2021 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 Probability analysis of bistable composite laminates using the subset simulation method
spellingShingle Probability analysis of bistable composite laminates using the subset simulation method
Michael Friswell
title_short Probability analysis of bistable composite laminates using the subset simulation method
title_full Probability analysis of bistable composite laminates using the subset simulation method
title_fullStr Probability analysis of bistable composite laminates using the subset simulation method
title_full_unstemmed Probability analysis of bistable composite laminates using the subset simulation method
title_sort Probability analysis of bistable composite laminates using the subset simulation method
author_id_str_mv 5894777b8f9c6e64bde3568d68078d40
author_id_fullname_str_mv 5894777b8f9c6e64bde3568d68078d40_***_Michael Friswell
author Michael Friswell
author2 Saeid Saberi
Azam Abdollahi
Michael Friswell
format Journal article
container_title Composite Structures
container_volume 271
container_start_page 114120
publishDate 2021
institution Swansea University
issn 0263-8223
doi_str_mv 10.1016/j.compstruct.2021.114120
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 Bistable composite laminates are advanced composite structures which are potential candidates for morphing structure applications. The geometrical dimensions, material properties, ambient temperature and moisture have significant effects on the bistable behaviour, and the effect of uncertain parameters should be quantified. Reliability analysis is well established for the quantitative assessment of the probability of an event due to parameter uncertainty. Thus, subset simulation is applied to the reliability and sensitivity analysis of bistable composite plates with multiple random parameters. The bistability probability is estimated using the principle of minimum energy; the Rayleigh-Ritz method is used to develop the equations of motion and the limit state function. The results indicate that the stacking sequence has a large effect on bistability probability, and cross-ply composite laminates are most likely to be bistable. Moreover, moisture absorption by the laminate can dramatically reduce this probability. The sensitivity reliability analysis demonstrates that for bistable laminates subject to humidity, the coefficient of thermal and moisture expansions have the greatest influence on the bistability probability. However, for bistable laminates without moisture the thickness is the most important factor. The accuracy and efficiency of the subset simulation method is validated by Monte Carlo simulation.
published_date 2021-09-01T04:12:16Z
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score 10.997843

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