Hybrid MCS‑FORM approach to solve inverse fracture mechanics reliability problems (2022)
- Authors:
- Autor USP: BECK, ANDRÉ TEÓFILO - EESC
- Unidade: EESC
- DOI: 10.1007/s00158-022-03182-4
- Subjects: MECÂNICA DA FRATURA; ESTRUTURAS; ESTRUTURAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg, Germany
- Date published: 2022
- Source:
- Título: Structural and Multidisciplinary Optimization
- ISSN: 1615-147X
- Volume/Número/Paginação/Ano: v. 65, n. 3, article 77, p. 1-20, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GOMES, Wellison José de Santana e GARMBIS, Alexandre Galiani e BECK, André Teófilo. Hybrid MCS‑FORM approach to solve inverse fracture mechanics reliability problems. Structural and Multidisciplinary Optimization, v. 65, n. 3, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00158-022-03182-4. Acesso em: 20 jan. 2026. -
APA
Gomes, W. J. de S., Garmbis, A. G., & Beck, A. T. (2022). Hybrid MCS‑FORM approach to solve inverse fracture mechanics reliability problems. Structural and Multidisciplinary Optimization, 65( 3), 1-20. doi:10.1007/s00158-022-03182-4 -
NLM
Gomes WJ de S, Garmbis AG, Beck AT. Hybrid MCS‑FORM approach to solve inverse fracture mechanics reliability problems [Internet]. Structural and Multidisciplinary Optimization. 2022 ; 65( 3): 1-20.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/s00158-022-03182-4 -
Vancouver
Gomes WJ de S, Garmbis AG, Beck AT. Hybrid MCS‑FORM approach to solve inverse fracture mechanics reliability problems [Internet]. Structural and Multidisciplinary Optimization. 2022 ; 65( 3): 1-20.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/s00158-022-03182-4 - Challenges in finding the design point with highly non-Gaussian bounded random variables
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Informações sobre o DOI: 10.1007/s00158-022-03182-4 (Fonte: oaDOI API)
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