Boundary Element Method applied to decision-making problems involving geometric variabilities in topology optimization (2017)
- Authors:
- Autor USP: LEONEL, EDSON DENNER - EESC
- Unidade: EESC
- DOI: 10.1016/j.enganabound.2017.09.016
- Subjects: ESTRUTURAS; MÉTODO DOS ELEMENTOS DE CONTORNO; TOMADA DE DECISÃO
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington, UK
- Date published: 2017
- Source:
- Título: Engineering Analysis with Boundary Elements
- ISSN: 0955-7997
- Volume/Número/Paginação/Ano: v. 85, p. 116-126, Dec. 2017
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
OLIVEIRA, Hugo Luiz e CHATEAUNEUF, Alaa e LEONEL, Edson Denner. Boundary Element Method applied to decision-making problems involving geometric variabilities in topology optimization. Engineering Analysis with Boundary Elements, v. 85, p. 116-126, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.enganabound.2017.09.016. Acesso em: 22 jan. 2026. -
APA
Oliveira, H. L., Chateauneuf, A., & Leonel, E. D. (2017). Boundary Element Method applied to decision-making problems involving geometric variabilities in topology optimization. Engineering Analysis with Boundary Elements, 85, 116-126. doi:10.1016/j.enganabound.2017.09.016 -
NLM
Oliveira HL, Chateauneuf A, Leonel ED. Boundary Element Method applied to decision-making problems involving geometric variabilities in topology optimization [Internet]. Engineering Analysis with Boundary Elements. 2017 ; 85 116-126.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.enganabound.2017.09.016 -
Vancouver
Oliveira HL, Chateauneuf A, Leonel ED. Boundary Element Method applied to decision-making problems involving geometric variabilities in topology optimization [Internet]. Engineering Analysis with Boundary Elements. 2017 ; 85 116-126.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.enganabound.2017.09.016 - An improved computational framework based on the dual boundary element method for three-dimensional mixed-mode crack propagation analyses
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Informações sobre o DOI: 10.1016/j.enganabound.2017.09.016 (Fonte: oaDOI API)
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