The design space root finding method for efficient risk optimization by simulation (2016)
- Authors:
- Autor USP: BECK, ANDRÉ TEÓFILO - EESC
- Unidade: EESC
- DOI: 10.1016/j.probengmech.2015.09.019
- Subjects: CICLO DE VIDA; ESTRUTURAS; MÉTODO DE MONTE CARLO
- Keywords: STRUCTURAL OPRIMIZATION; RISK OPTIMIZATION; LIFE-CYCLE COST OPTIMIZATION; UNCERTAINTIES; MONTE CARLO SIMULATION
- Language: Inglês
- Imprenta:
- Publisher place: London, England
- Date published: 2016
- Source:
- Título: Probabilistic Engineering Mechanics
- ISSN: 0266-8920
- Volume/Número/Paginação/Ano: v. 44, p. 99-110, April 2016
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GOMES, Wellison José de Santana e BECK, André Teófilo. The design space root finding method for efficient risk optimization by simulation. Probabilistic Engineering Mechanics, v. 44, p. 99-110, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.probengmech.2015.09.019. Acesso em: 22 jan. 2026. -
APA
Gomes, W. J. de S., & Beck, A. T. (2016). The design space root finding method for efficient risk optimization by simulation. Probabilistic Engineering Mechanics, 44, 99-110. doi:10.1016/j.probengmech.2015.09.019 -
NLM
Gomes WJ de S, Beck AT. The design space root finding method for efficient risk optimization by simulation [Internet]. Probabilistic Engineering Mechanics. 2016 ; 44 99-110.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.probengmech.2015.09.019 -
Vancouver
Gomes WJ de S, Beck AT. The design space root finding method for efficient risk optimization by simulation [Internet]. Probabilistic Engineering Mechanics. 2016 ; 44 99-110.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.probengmech.2015.09.019 - Challenges in finding the design point with highly non-Gaussian bounded random variables
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- Optimum design of robust compliant mechanisms with uncertainties in output stiffness
- Quantificação de incertezas em Engenharia de Estruturas
- Effect of expected consequences of failure on optimal structural design
- Surrogate modelling techniques in solution of structural reliability problems
- Optimization of non-linear truss considering expected consequences of failure
- Hybrid MCS‑FORM approach to solve inverse fracture mechanics reliability problems
- Design-point excitation for crack propagation under narrow-band random loading
Informações sobre o DOI: 10.1016/j.probengmech.2015.09.019 (Fonte: oaDOI API)
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