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Probability analysis of bistable composite laminates using the subset simulation method
Composite Structures, Volume: 271, Start page: 114120
Swansea University Author: Michael Friswell
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©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)
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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...
Published in: | Composite Structures |
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ISSN: | 0263-8223 |
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Elsevier BV
2021
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URI: | https://cronfa.swan.ac.uk/Record/cronfa56929 |
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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 |
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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 |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised |
document_store_str |
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active_str |
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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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1763753838432485376 |
score |
11.012678 |