Improving the robust design of piezoelectric energy harvesters by using polynomial chaos expansion and multiobjective optimization-Reference-Cited by-同舟云学术

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Improving the robust design of piezoelectric energy harvesters by using polynomial chaos expansion and multiobjective optimization

Published:2023-11-30 Issue: Volume: Page:
ISSN:1569-1713
Container-title:International Journal of Mechanics and Materials in Design
language:en
Short-container-title:Int J Mech Mater Des

Author:

Martins Paulo H.^ORCID,Trindade Marcelo A.^ORCID,Varoto Paulo S.^ORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s10999-023-09691-4.pdf

Reference50 articles.

1. Ali, S.F., Friswell, M.I., Adhikari, S.: Piezoelectric energy harvesting with parametric uncertainty. Smart Mater. Struct. 19(10), 105010 (2010)

2. Aloui, R., Larbi, W., Chouchane, M.: Uncertainty quantification and global sensitivity analysis of piezoelectric energy harvesting using macro fiber composites. Smart Mater. Struct. 29(9), 095014 (2020)

3. Ang, A.H.S., Tang, W.H.: Probability Concepts in Engineering Planning and Design, vol. 1. Basic Principles, Wiley, New York (1975)

4. Beyer, H.G., Sendhoff, B.: Robust optimization-a comprehensive survey. Computer Methods in Applied Mechanics and Engineering 196(33–34), 3190–3218 (2007)

5. Chatterjee, T., Karlicic, D., Adhikari, S., Friswell, M.I.: Parametric amplification in a stochastic nonlinear piezoelectric energy harvester via machine learning. In: Data Science in Engineering, Volume 9, Conference Proceedings of the Society for Experimental Mechanics Series, Springer, Cham, pp 283–291 (2022)

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