Probability analysis of bistable composite laminates using the subset simulation method
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 Vol. 271; p. 114120 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.09.2021
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| 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 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. |
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| AbstractList | 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. |
| ArticleNumber | 114120 |
| Author | Friswell, Michael I. Saberi, Saeid Abdollahi, Azam |
| Author_xml | – sequence: 1 givenname: Saeid surname: Saberi fullname: Saberi, Saeid organization: Department of Mechanical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran – sequence: 2 givenname: Azam surname: Abdollahi fullname: Abdollahi, Azam organization: Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan 98155-987, Iran – sequence: 3 givenname: Michael I. surname: Friswell fullname: Friswell, Michael I. email: m.i.friswell@swansea.ac.uk organization: College of Engineering, Swansea University, Bay Campus, Swansea SA1 8EN, United Kingdom |
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| Keywords | Subset simulation Uncertainty quantification Reliability analysis Sensitivity analysis Bistable composite laminate Advanced composites |
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| Title | Probability analysis of bistable composite laminates using the subset simulation method |
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