Application of modifed adaptive morphogenesis and robust optimization algorithms for thin stifened plates

Souza, Beatriz Ferreira; Anflor, Carla Tatiana Mota; Jorge, Ariosto Bretanha

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Campo DC	Valor	Idioma
dc.contributor.author	Souza, Beatriz Ferreira	-
dc.contributor.author	Anflor, Carla Tatiana Mota	-
dc.contributor.author	Jorge, Ariosto Bretanha	-
dc.date.accessioned	2022-06-07T14:14:05Z	-
dc.date.available	2022-06-07T14:14:05Z	-
dc.date.issued	2022	-
dc.identifier.citation	SOUZA, Beatriz F.; ANFLOR, Carla T. M.; JORGE, Ariosto B. Application of modifed adaptive morphogenesis and robust optimization algorithms for thin stifened plates. Engineering with Computers, 2022. DOI: https://doi.org/10.1007/s00366-021-01465-w. Disponível em: https://link.springer.com/article/10.1007/s00366-021-01465-w. Acesso em: 7 jun. 2022.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/43903	-
dc.language.iso	Inglês	pt_BR
dc.publisher	Springer	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	Application of modifed adaptive morphogenesis and robust optimization algorithms for thin stifened plates	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Algoritmo de morfogênese adaptativa	pt_BR
dc.subject.keyword	Otimização robusta	pt_BR
dc.subject.keyword	Algoritmos genéticos	pt_BR
dc.subject.keyword	Placas finas enrijecidas	pt_BR
dc.rights.license	© Springer-Verlag London Ltd., part of Springer Nature 2021	pt_BR
dc.identifier.doi	https://doi.org/10.1007/s00366-021-01465-w	pt_BR
dc.relation.publisherversion	https://link.springer.com/article/10.1007/s00366-021-01465-w	pt_BR
dc.description.abstract1	Stiffened plates are widely used in high-performance structures, especially when a high stiffness/weight ratio is a relevant factor. In this work, the main objective relies on determining the optimum geometry of a simply supported stiffened thin plate which minimizes the maximum out-of-plane displacement, while complying with maximum von Mises stress constraints. The structure is subject to a pressure uniform load and has a constraint of constant total material volume. This work investigated the influence in the objective function of variations in several geometric parameters, such as volume, number, angle, position, and cross-sectional area of the stiffeners in the maximum displacement and the maximum von Mises stress. A new topology optimization algorithm denominated Modified Adaptive Morphogenesis Algorithm was proposed using a pattern of leaf vein formation to define the topology of the stiffeners in the plates. A Hybrid Genetic Algorithm was performed to initiate the optimization procedure called germination. Also, a Robust Optimization Algorithm has used multiple objectives to decrease the variability of the maximum displacement field. The results showed that near the Pareto Front, the maximum displacement is not very sensitive to changes in the project decision variables, thus being a robust optimum point. Moreover, the results obtained were compared with data available in the literature, which showed the relevance and validation of the proposed methodology. Finally, under equivalent conditions of the number of stiffeners, the Morphogenesis Algorithm showed better results (displacement or stress) than those obtained with perpendicular stiffeners.	pt_BR
dc.identifier.orcid	http://orcid.org/0000-0002-4357-8924	pt_BR
dc.identifier.orcid	http://orcid.org/0000-0003-3941-8335	pt_BR
dc.identifier.orcid	http://orcid.org/0000-0002-8631-1381	pt_BR
dc.description.unidade	Faculdade UnB Gama (FGA)	-
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