Optimal pipeline design considering failure by mechanical damage (2015)
- Authors:
- USP affiliated authors: BECK, ANDRÉ TEÓFILO - EESC ; BAZÁN, FELIPE ALEXANDER VARGAS - EESC
- Unidade: EESC
- Subjects: DANOS MECÂNICOS; FALHAS (GEOLOGIA ESTRUTURAL); ESTRUTURAS
- Language: Inglês
- Imprenta:
- Publisher place: Rio de Janeiro, RJ
- Date published: 2015
- Source:
- Título: Anais
- Conference titles: Congresso ABRISCO
-
ABNT
BAZÁN, Felipe Alexander Vargas e BECK, André Teófilo. Optimal pipeline design considering failure by mechanical damage. 2015, Anais.. Rio de Janeiro, RJ: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2015. Disponível em: https://repositorio.usp.br/directbitstream/879bf341-9210-4821-8d82-32299d8da124/OK____trabalho%2053.pdf. Acesso em: 26 jan. 2026. -
APA
Bazán, F. A. V., & Beck, A. T. (2015). Optimal pipeline design considering failure by mechanical damage. In Anais. Rio de Janeiro, RJ: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/879bf341-9210-4821-8d82-32299d8da124/OK____trabalho%2053.pdf -
NLM
Bazán FAV, Beck AT. Optimal pipeline design considering failure by mechanical damage [Internet]. Anais. 2015 ;[citado 2026 jan. 26 ] Available from: https://repositorio.usp.br/directbitstream/879bf341-9210-4821-8d82-32299d8da124/OK____trabalho%2053.pdf -
Vancouver
Bazán FAV, Beck AT. Optimal pipeline design considering failure by mechanical damage [Internet]. Anais. 2015 ;[citado 2026 jan. 26 ] Available from: https://repositorio.usp.br/directbitstream/879bf341-9210-4821-8d82-32299d8da124/OK____trabalho%2053.pdf - Reliability analysis of I-section steel columns designed according to new brazilian building codes
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- Galerkin method applied to stochastic diffusion problems
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- Safety management of onshore pipelines based on structural reliability
- Structural optimization under uncertainties: understanding the role of expected consequences of failure
- New method for efficient Monte Carlo-Neumann solution of linear stochastic systems
- A fast convergence parameter for Monte Carlo-Neumann solution of linear stochastic systems
- Challenges in finding the design point with highly non-Gaussian bounded random variables
- The random barrier-crossing problem
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