Reliability assessment of guyed transmission towers through active learning metamodeling and progressive collapse simulation (2022)
- Authors:
- Autor USP: BECK, ANDRÉ TEÓFILO - EESC
- Unidade: EESC
- DOI: 10.1080/15732479.2022.2122516
- Subjects: TRANSMISSÃO DE ENERGIA ELÉTRICA; KRIGAGEM; ESTRUTURAS
- Language: Inglês
- Imprenta:
- Publisher: Taylor & Francis
- Publisher place: Abingdon, Oxfordshire, United Kingdom
- Date published: 2022
- Source:
- Título do periódico: Structure and Infrastructure Engineering
- ISSN: 1573-2479
- Volume/Número/Paginação/Ano: online, p. 1-15, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ALVES, Gabriel Padilha et al. Reliability assessment of guyed transmission towers through active learning metamodeling and progressive collapse simulation. Structure and Infrastructure Engineering, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.1080/15732479.2022.2122516. Acesso em: 24 maio 2024. -
APA
Alves, G. P., Miguel, L. F. F., Lopez, R. H., & Beck, A. T. (2022). Reliability assessment of guyed transmission towers through active learning metamodeling and progressive collapse simulation. Structure and Infrastructure Engineering, 1-15. doi:10.1080/15732479.2022.2122516 -
NLM
Alves GP, Miguel LFF, Lopez RH, Beck AT. Reliability assessment of guyed transmission towers through active learning metamodeling and progressive collapse simulation [Internet]. Structure and Infrastructure Engineering. 2022 ; 1-15.[citado 2024 maio 24 ] Available from: https://doi.org/10.1080/15732479.2022.2122516 -
Vancouver
Alves GP, Miguel LFF, Lopez RH, Beck AT. Reliability assessment of guyed transmission towers through active learning metamodeling and progressive collapse simulation [Internet]. Structure and Infrastructure Engineering. 2022 ; 1-15.[citado 2024 maio 24 ] Available from: https://doi.org/10.1080/15732479.2022.2122516 - Optimum design of robust compliant mechanisms with uncertainties in output stiffness
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Informações sobre o DOI: 10.1080/15732479.2022.2122516 (Fonte: oaDOI API)
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